This section examines the latest advancements in smart home technologies (SHTs) and their application in caring for older adults. It assesses how these technologies can improve safety, health monitoring, and daily living support, with a focus on their practical implementation. Through a review of current research and technologies, we explore both the opportunities these innovations present for enhancing the lives of older adults and the challenges, such as user acceptance and system integration, that must be overcome to maximize their effectiveness.
4.3.1. Smart Home Innovations for Older Adults’ Care: Enhancing Quality of Life and Independence
This section comprises research focused on the application of SHTs to improve the quality of life for older adults. The studies explore various innovations, such as health monitoring systems, emergency response solutions, and daily activity support, all tailored to meet the needs of older adults. The goal is to enhance independence, safety, and overall well-being through technology, making everyday life more manageable and healthcare more accessible in a home setting.
Doyle et al. [
81] present findings from their investigation into older adults’ attitudes toward self-managing their health and wellness using data from SHTs. The study, conducted within the Great Northern Haven smart homes, involved interviews with seven older adults who had been living with integrated smart home systems for over four years. The research aimed to explore the residents’ long-term attitudes toward living with smart home sensors and assistive ambient living (AAL) technologies, their opinions on the utility of the data these technologies provide, and their preferences on data visualization techniques. Key findings revealed that older adults are generally interested in using sensor technology data to aid in self-managing their well-being. They expressed a particular interest in feedback on metrics such as time spent indoors and outdoors, walking times, sleep patterns, activity levels, blood pressure, and weight. However, the study also highlighted the need for data representation to be simple, intuitive, and accompanied by educational support and goal-setting to be genuinely useful. Residents showed a preference for visualizations that clearly and effectively communicate health and wellness data, suggesting that appropriate design and presentation of information can significantly enhance their engagement and the usability of smart home data. The reported findings underscore the potential benefits of SHTs in supporting older adults in managing their health and wellness independently. However, they also point to the necessity for careful consideration of how data are presented and the broader context of use, ensuring that these technologies meet the real needs of their older adult users.
Chernbumroong et al. [
82] conducted a study to investigate perceptions, needs, and concerns related to SHTs aimed at assisting older adults. The research surveyed individuals in various settings, including a major hospital and nursing homes, to gather data on the acceptability and perceived usefulness of six specific SHTs. These technologies included systems for cooking safety, sleeping pattern monitoring, emergency alarms, automatic lighting, video monitoring, and activity monitoring. The study found that while there was general support for SHTs, significant concerns were also expressed. Participants appreciated the potential of these technologies to enhance their safety and well-being—particularly through features that prevent accidents (such as automatic stove shut-offs) and monitor health parameters (such as sleeping patterns and activity levels). However, there were notable apprehensions about privacy, the complexity of the technology, and the need for training on new devices. Moreover, the findings indicated a varied willingness to adopt these technologies. While some participants were open to integrating technologies such as automatic lighting systems into their homes, there was reluctance toward devices that might invade privacy or require extensive interaction, such as video monitoring systems. This highlights the importance of addressing user-friendliness and privacy concerns to increase the adoption rates of SHTs among older adults. The study emphasized that the successful implementation of SHTs in older adults’ care significantly depends on understanding and addressing the specific perceptions and concerns of the potential users, suggesting that user-centric design and comprehensive stakeholder engagement are crucial.
Ghorayeb et al.’s [
52] study on older adults’ perspectives of smart home technology (SHT) revealed a complex relationship between user experience and technology acceptance. The findings indicated that familiarity with the technology through direct experience led to increased acceptance among older adults, who initially may harbor concerns about privacy, usability, and the intrusive nature of the technology. Those with experience tended to view these technologies more favorably over time, appreciating their potential to enhance safety and maintain independence. On the other hand, those without direct experience remained skeptical, perceiving these systems as potentially invasive and expressing heightened concerns regarding privacy. Both groups, however, emphasized the importance of customizable and non-intrusive technology solutions that can be adapted to individual needs and preferences. The study underscores the critical role of involving older adults in the design and development processes of SHTs, ensuring that these innovations align effectively with the end-users’ expectations and lifestyle requirements, thereby enhancing overall acceptance and utility.
Pal et al.’s [
75] systematic review examined the impact of SHTs on the quality of life for older adults. The research assimilated findings from multiple studies, revealing a generally positive reception toward smart homes, particularly valued for health monitoring and assisted independent living. However, significant concerns about privacy, security, and potential social isolation due to increased technological reliance also prominently surfaced. Older adults appreciate smart homes for the autonomy and safety they confer, but simultaneously, they expressed apprehensions about being monitored and the impersonal nature of technology. This dichotomy underscores the need for designing smart home solutions that not only enhance physical safety and health monitoring but also consider the social and emotional well-being of older adults. The study highlighted the crucial balance between technological assistance and maintaining human interactions, pointing toward a future where SHTs are seamlessly integrated into the fabric of older adults’ care without compromising personal privacy or social engagement.
Majumder et al. [
32] provided a review of recent advancements in SHTs tailored for older adult healthcare, addressing both significant progress and emerging challenges in the field. Their study emphasized the integration of environmental and wearable medical sensors within smart homes to facilitate continuous and remote health monitoring of older adults. This approach not only promises enhanced living standards for the aging population by allowing them to remain in their familiar home environments longer but also aims to alleviate the financial burdens on healthcare systems through cost-effective monitoring solutions. The research highlighted a variety of smart home applications, from basic health monitoring to sophisticated systems that can predict emergency situations, all enabled by the convergence of Internet of Things (IoT) technology, AI, and advanced sensor technology. However, despite these technological strides, the review also pointed out critical hurdles, such as the need for interoperability among different devices, privacy concerns, and the technical challenges in developing user-friendly systems that are both affordable and reliable. The study serves as a backbone for understanding the potential of smart homes in transforming older adults’ care, underscoring the importance of multidisciplinary approaches that merge healthcare, technology, and user-centered design to develop solutions that are not only technologically sound but also align with the real-world needs of older adults.
Dermody et al. [
61] conducted an exploratory qualitative study to assess the readiness of community-dwelling older adults to adopt SHT. The study identified several key factors that influence this readiness, including knowledge, health and safety, independence, security, and cost. These factors manifested through qualitative themes, such as the level of familiarity with technology, concerns about privacy and data security, and perceived usefulness in enhancing independence and safety. The study underscored the mixed feelings among older adults regarding the adoption of smart homes: while recognizing the potential benefits for health monitoring and independent living, they also expressed apprehensions about privacy invasions and the intrusiveness of constant monitoring. Importantly, the research highlighted the need for increased awareness and information dissemination to enhance acceptance and reassure potential users about the benefits and safeguards of SHTs.
Marikyan et al. [
72] conducted a systematic review that explored the burgeoning literature on SHTs from a user perspective, revealing how these innovations are reshaping residential living. Their review encapsulated a multitude of studies, illustrating that while users acknowledge the considerable benefits of smart homes, including enhanced convenience, increased safety, and potential health monitoring, there remain significant reservations, primarily about privacy, technology integration, and cost. The authors detailed that the adoption of SHTs is influenced by several factors, including the level of technology integration possible within existing infrastructures, the perceived ease of use, and the overall reliability of these systems. They argued that for broader adoption, smart home solutions must not only be technologically advanced but also user-friendly, affordable, and respectful of privacy and data security. This review sheds light on the crucial role of user-centric approaches in the design and implementation of SHTs, suggesting that future research should continue to address these user concerns to enhance acceptance and utility.
Bal et al. [
77] provided an extensive review of collaborative SHTs aimed at supporting independent living of older adults. Their research synthesized findings from approximately 30 projects, underscoring the critical role these technologies play in enhancing safety, health, and social connectedness for older adults. The review highlighted how smart homes can significantly boost the quality of life by facilitating continuous health monitoring, emergency assistance, and social interaction, which are essential for older adults living independently. However, the authors also pinpointed several challenges that need to be addressed to maximize the benefits of these technologies. These included the integration of systems into existing infrastructures, the usability of the technology by older adults who may have varying levels of comfort and proficiency with digital tools, and the cost associated with implementing such technologies. Moreover, they emphasized the importance of privacy and data security, critical factors that influence the acceptance and success of smart home solutions among older adult users. The review provides a comprehensive perspective on how collaborative intelligence and smart environments can be leveraged to support the autonomy and well-being of older adults, suggesting a pathway toward more sustainable, efficient, and inclusive healthcare solutions.
Lee and Kim [
41] critically evaluated the development and effectiveness of smart residential environments for older adults, with a particular focus on enhancing pleasurable experiences. Their review underscored that while smart technologies in residential settings significantly improve the physical and cognitive support for older adults, they often overlook the hedonic and emotional aspects that contribute to a pleasurable living experience. The study identified a prevalent focus on utilitarian benefits, such as safety, monitoring, and energy efficiency, which, while crucial, do not fully address the needs for emotional and social enrichment. The authors argued that smart environments should integrate features that not only ensure physical wellness and safety but also promote fun, social interaction, and emotional engagement. They suggest that a shift toward including hedonic factors would greatly enhance the quality of life for older adults, making the technology more appealing and acceptable. The study presented an evaluation framework consisting of wellness, independence, acceptance, and design, which aims to guide future research and development in creating more holistic smart residential environments that support not just the functional needs but also the psychological and emotional well-being of older adults.
Yusif et al. [
53] conducted a systematic review to explore the barriers to the adoption of assistive technologies (ATs) by older individuals, focusing on empirical studies that identify these barriers from the perspective of older adults. Their research highlighted several critical issues influencing older adults’ willingness to embrace ATs. A primary concern among older adults was privacy, cited as a major barrier in 34% of the studies reviewed. Other significant barriers included trust in the technology and its added value, both of which impacted the perceived usefulness and efficacy of ATs. The cost of technologies and their ease of use also posed substantial challenges, each noted in 23% of the studies. Additionally, the perception of not needing assistance, stigma associated with using ATs, and the fear of becoming dependent on technology further hindered adoption rates. These factors were compounded by physical declines related to aging and generational differences in technology acceptance, which are often exacerbated by the design of ATs that may not appeal to older users due to their clinical appearance or perceived complexity. This review clearly demonstrated that while ATs have the potential to significantly improve quality of life for older adults, adoption rates will remain low unless these technologies are designed and marketed in a way that addresses these barriers, emphasizing privacy, trustworthiness, affordability, simplicity, and the preservation of independence and dignity.
Sokullu et al. [
57] discussed the design and implementation of an IoT-supported smart home system aimed at improving the living standards of older adults, particularly those with partial memory loss, such as mild cognitive impairment (MCI) or dementia patients. Their study elaborated on the deployment of various sensors throughout a residence to monitor the activities of older adults unobtrusively. The system included an emergency wristband for urgent situations, offering a comprehensive, low-cost solution for enhancing safety and providing early warnings for routine issues faced by older adults. The results highlighted the system’s effectiveness in contextual activity detection using ambient sensors, which assess activities without invading privacy. The prototype is praised for its affordability and ease of integration, reflecting a significant advancement in assistive living technologies. By offering real-time monitoring and emergency alerts, the system not only ensures the safety of older adults but also facilitates their independence, aligning with the needs and preferences of its users. This study underscored the potential of IoT in transforming older adults’ care through SHTs, fostering a safer and more responsive living environment.
Existing research implies that SHTs significantly contribute to the enhancement of care for older adults by improving safety, health monitoring, and social interaction capabilities. These technologies are tailored to meet the unique needs of older adults, facilitating better management of their healthcare costs and supporting their independence. However, the adoption of smart home solutions faces challenges, including privacy concerns, the complexity of the technologies involved, and the substantial costs associated with implementation. Studies also emphasized the importance of intuitive design and accessible interfaces to ensure that these innovations are user-friendly for an aging population. There is a notable need for educational support to help older adults become more comfortable and proficient with these technologies. Furthermore, the research advocates for a holistic approach that not only focuses on physical wellness but also considers the emotional and psychological health of older adults, promoting a shift from technology-centric solutions to those that are human-centered and enrich the lives of users by integrating elements of fun and social connectivity.
Table 5 showcases various smart home innovations, detailing their main advantages, disadvantages, and specific recommendations for enhancing adoption and effectiveness in older adults’ care.
4.3.2. Ethical, Security, and Privacy Considerations in Smart Home Deployment: Navigating the Challenges
The works in this section explore the ethical challenges as well as security and privacy concerns associated with the deployment of SHTs. These studies discuss issues such as data protection, user autonomy, informed consent, and the balance between technological benefits and the potential for intrusion. The focus is on ensuring that smart home solutions are developed and used in ways that respect the dignity and rights of users, fostering trust and acceptance.
Zhu et al. [
65] conducted a scoping review to address ethical issues in smart-home-based care for older adults, exploring the implications of incorporating advanced technologies, such as AI and information technologies, into care practices. Their study highlighted key ethical concerns revolving around privacy, autonomy, safety, fairness, and the potential reduction in human contact. The findings emphasized significant privacy issues, particularly how smart technologies collect and handle sensitive personal data, raising questions about information privacy and physical privacy. Autonomy is another critical focus, with discussions on the importance of informed consent and user-centered control, ensuring that older adults can make voluntary and well-informed decisions about the technologies that affect their lives. Safety guarantees provided by these technologies are acknowledged as beneficial, enhancing the quality of life by enabling more effective emergency responses and everyday activity monitoring. However, there are concerns about fairness, as access to these technologies is not uniformly available, often limited by economic or social barriers. The review also addressed the reduction in human contact, a significant ethical concern, as SHTs might lead to less human interaction, potentially increasing feelings of isolation among older adult users. The researchers advocate for the careful integration of technology that complements human care rather than replacing it, ensuring that care for older adults remains a deeply human-centric service.
Sanchez et al. [
55] conducted a systematic literature review exploring the ethical implications of implementing smart house welfare technology for older adults. Their study highlighted several key ethical challenges, including issues related to privacy, autonomy, informed consent, dignity, safety, and trust. These challenges arise from the potential for smart houses to intrude on personal space and monitor private activities without adequate safeguards, raising concerns about the erosion of autonomy and privacy. Additionally, the need for informed consent is critical, ensuring that users are fully aware of the technology’s capabilities and limitations. The authors emphasized that while smart home technology offers substantial benefits, such as enhanced safety and extended independent living, it also presents significant ethical dilemmas that must be addressed through careful design and transparent policies. The review suggested that developers and policymakers need to prioritize these ethical considerations to foster trust and acceptance among users, thereby ensuring that the technology genuinely supports the dignity and quality of life of older adults. This examination of the ethical landscape serves as a crucial guide for advancing smart home technologies in a responsible and user-focused manner.
Chung et al.’s [
35] systematic review explored the ethical implications and concerns associated with the use of SHTs to support older adults. Their study identified key ethical issues, including privacy, autonomy, obtrusiveness, equal access, reduction in human contact, and usability, which are crucial in the context of aging, technology, and home environment. The review underscored that while smart homes have the potential to enhance the quality of life, safety, and independence of older adults, they also raise significant ethical concerns. The privacy of users is highlighted as a particularly pressing issue, considering the invasive nature of continuous monitoring technologies that collect and transmit personal health information. The authors argued for the need to balance technological benefits with ethical considerations to ensure that SHTs serve as a supportive, rather than intrusive, solution for aging individuals. The review calls for ongoing research to address these ethical challenges and for the development of guidelines that safeguard the interests and rights of older adults.
Robles and Kim [
28] provided a thorough examination of security challenges and technological advancements in smart home development. Their review outlined the significant progress in smart home automation systems, focusing on enhancing security measures to protect homeowners and their properties. They discussed the evolution from basic security systems to advanced smart home systems that offer a myriad of additional benefits, such as remote monitoring, automated alerts, and integration with various household devices through sophisticated network protocols. The study highlighted the critical aspect of security within smart homes, noting that the technological sophistication of these systems also introduces complex security vulnerabilities. These vulnerabilities include network security threats and privacy concerns due to the potential for unauthorized data access. The authors emphasized the necessity for robust security protocols and encryption methods to safeguard data transmitted across smart home networks. They advocated for continuous advancements in SHTs to address these security challenges effectively, ensuring the safety and privacy of users in the increasingly connected and automated home environment.
Current studies indicate that while SHTs offer substantial benefits for improving care for older adults, they also present significant ethical challenges that must be addressed to ensure their responsible implementation. Key concerns include ensuring privacy and data protection, maintaining autonomy and dignity, and providing safety and fairness in technology use. The potential for reduced human contact and increased social isolation also highlights the need for solutions that balance technological benefits with maintaining human connections. Furthermore, the ethical deployment of these technologies requires robust frameworks that include clear guidelines on informed consent, user-centered control, and transparency. It is essential to minimize data collection to what is strictly necessary and ensure that all collected data are securely protected. The role of trust and user perception in the adoption of SHTs is critical, emphasizing the need for developers and policymakers to work toward building and maintaining trust through ethical practices. This entails a multidisciplinary approach that integrates ethical considerations at every stage of technology development and deployment, ensuring that smart home innovations enhance the lives of older adults without compromising their privacy or autonomy.
Table 6 outlines various considerations in smart home technology for older adults, along with key points and strategies to address these challenges.
4.3.3. Integrating Technology in Smart Homes: Building Connected and Efficient Environments
This section explores the integration of various technologies within smart homes, highlighting the roles of sensors, data analytics, and networked devices in creating interconnected living environments. The studies examine how these technologies can improve the efficiency, functionality, and adaptability of home systems, from energy management to security and health monitoring, emphasizing the technical underpinnings that make homes smart.
Mohammed et al. [
66] presented a review of the integration of Internet of Things (IoT) technologies in smart homes and healthcare systems. Their study detailed the transformative impact IoT has on enhancing healthcare management by facilitating remote monitoring and management of health data with minimal human intervention. The review elaborated on various IoT applications, such as real-time health monitoring, patient information management, and emergency management systems, that improve the efficacy of healthcare services and patient care. The authors highlighted the potential of IoT to alleviate the strain on healthcare systems by reducing costs, increasing the efficiency of medical services, and enhancing patient outcomes through continuous monitoring. However, they also acknowledged significant challenges, including data security, privacy concerns, and the need for robust network infrastructure to support the seamless integration of IoT devices. The review underscored the necessity of addressing these challenges to fully harness the benefits of IoT in smart healthcare environments, suggesting future research directions to overcome these barriers and enhance system implementations.
Robles and Kim [
29] provided an analysis of SHTs, focusing on their applications, systems, and methods. Their review underscored the integration of technology and services through home networking as a means to enhance the quality of life. The study revealed that smart home systems facilitate improved convenience and safety for residents, particularly older adults and disabled individuals, through automated systems that can control various aspects of the home environment, such as lighting, security, and temperature. The authors discussed several technologies, such as X10, Z-Wave, and ZigBee, which are crucial for the operation of these smart homes. These technologies enable devices within the home to communicate over both electrical wiring and radio frequencies, creating a mesh network that ensures commands are received and executed, even in the presence of signal interference. The use of such advanced protocols enhances the reliability and efficiency of smart home systems. Furthermore, Robles and Kim highlighted the potential for these technologies to provide significant energy savings and enhanced security measures. They illustrated how smart homes can adapt to the residents’ habits and needs, providing not only operational efficiency but also a personalized living experience. The review pointed to a future where SHT plays a pivotal role in everyday living, offering greater comfort, security, and energy efficiency.
Maswadi et al. [
45] conducted a systematic literature review to evaluate smart home monitoring technologies for older adults, emphasizing IoT integration. The review underscored the transformative potential of these technologies in enhancing older adults’ care by facilitating health monitoring, emergency responsiveness, and daily activity management, which are essential for maintaining independence and safety. However, the authors highlighted a critical need for standardized research methodologies to reliably assess and implement these technologies. This work not only maps the current landscape but also calls for future research to adopt rigorous approaches for validating smart home solutions, thereby ensuring their effectiveness and reliability in real-world applications.
Kim et al. [
74] presented an examination of the U-Health Smart Home project, focused on enhancing older adults’ care through technology. Their work elaborated on the implementation of an autonomic system within smart homes, using semantic web technologies and wireless sensor networks (WSNs) to monitor and assist older adults in real time. The study highlighted the integration of a knowledge-based framework that uses semantic reasoning to understand and adapt to the needs of older adults based on continuous data collection from environmental and body sensors. This approach enables the smart home to autonomously manage various home devices and systems in response to the identified needs of its residents, promoting safety and independence. The autonomic system is designed to operate with minimal human intervention, providing a proactive health management solution that significantly reduces the need for traditional healthcare interventions. The project’s findings demonstrated the potential of integrating advanced technologies in smart homes to significantly enhance the quality of life for older adults, offering a promising direction for future innovations in older adult care technology.
Agoulmine et al. [
46] presented a study on innovative solutions for managing older adults’ care and chronic diseases through the integration of nanotechnology, biotechnology, and information and communication technologies. Their research discussed the development of a U-Health Smart Home system designed to support older adults and people with chronic diseases within their own homes, thus reducing the necessity for hospitalization and specialized care facilities. This U-Health Smart Home system is engineered to allow autonomous monitoring and assistance using advanced sensor technologies, including wearable devices and environmental sensors that continuously track health metrics. The system is connected to a back-end medical institution, which enables real-time updates on the patient’s status to healthcare providers, potentially allowing for an immediate medical response in emergency situations. The research illustrated how such technological integrations could alleviate the financial burden on healthcare systems by enabling older adults’ independence and proactive health management. It emphasized the role of a layered architecture in the smart home system, including sensors and actuators, a home communication network, and an autonomic decision-making system. This approach aims to provide a sustainable, cost-effective solution for enhancing older adults’ care through technology-driven innovations.
Paolini et al. [
33] developed an IoT-based digital platform for smart homes under the HABITAT project, aiming to integrate advanced technologies, such as Radio Frequency Identification (RFID), wearable electronics, wireless sensor networks, and AI, to support older adults’ independence both at home and in retirement settings. The platform’s novelty lies in its system-level flexibility, enabling the interoperability of various smart devices, which allows for the customization of home environments to better serve the needs of older adult users, thereby reducing healthcare costs by minimizing the need for personal assistance. The study emphasized the potential of such integrated systems to enhance the quality of life for older adults by embedding technology in everyday objects, making them part of an unobtrusive assistive environment. This approach not only promotes aging in place by enabling older adults to live independently for longer but also integrates health monitoring and emergency management seamlessly into the living space. The HABITAT project showcases a forward-thinking application of IoT in gerontechnology, focusing on user-centered design to ensure the technology is adaptable, practical, and acceptable to its end-users.
Obaid et al. [
56] developed a ZigBee-based voice-controlled smart home system intended to enhance the autonomy of older adults and disabled individuals. Their system utilizes voice commands to operate home appliances, offering a user-friendly and adaptable home automation solution. The study showcased how voice recognition integrated with ZigBee technology allows for efficient command execution with low power consumption, significantly improving accessibility for users with limited mobility or disabilities. The proposed system demonstrated a high degree of reliability in recognizing and executing commands, overcoming common challenges, such as noise interference and speaker accent variation. This advancement in SHT not only improves the quality of life for its users by providing them with more control over their living environment but also paves the way for further innovations in assistive home technologies. The study emphasized the potential for scalable smart home solutions that prioritize user interface simplicity and efficient communication protocols to address the specific needs of vulnerable populations.
Brulin et al. [
47] developed a computer vision-based posture recognition method for home monitoring of older adults, integrating a fuzzy logic approach to categorize four static postures: lying, sitting, squatting, and standing. Their system begins with human detection, focusing on human silhouettes to ensure robustness against environmental variations, such as lighting changes and object movements. The posture recognition process utilizes fuzzy logic to handle the ambiguity in human posture, enhancing the system’s reliability in real-world applications. The system achieved a satisfactory accuracy of 74.29% in recognizing the correct postures, proving its efficacy in identifying emergency situations, such as falls, within a smart home environment. This capability indicates significant potential for enhancing older adults’ care by promptly detecting and responding to falls, thereby improving safety and potentially reducing the need for constant human supervision. The approach underscores the importance of incorporating adaptive, context-aware technologies in developing assistive tools for the aging population.
Kim et al. [
63] developed a vision-based Human Activity Recognition (HAR) system utilizing depth silhouettes to monitor the daily activities of older adult residents within smart homes. The system employs depth video cameras to capture human silhouettes, which are then processed to extract skeleton joint features. These features include centroid points, joint distances, and magnitudes, forming a robust dataset for training Hidden Markov Models (HMMs). The experimental results demonstrated a high mean recognition rate of 84.33% across nine routine activities, showcasing the system’s effectiveness in identifying a wide range of daily actions accurately. This innovative approach highlighted the potential of depth-based video surveillance in enhancing older adults’ care by providing continuous, real-time monitoring that supports independent living while ensuring safety and well-being in smart home environments.
Neßelrath et al. [
73] introduced a novel gesture-based interaction system for smart homes that significantly enhances the interface for older adult users by utilizing contextual sensitivity. Their system employs the WiiMote to recognize gestures, which then translate into commands for home appliances through a middleware based on the ISO 24752 standard [
86]. The study tested two interaction concepts: one that adapts the gesture’s function based on its contextual use and another that triggers predefined scenarios, such as “go to bed”, simplifying complex sequences of actions into single gestures. The research demonstrated that contextual interactions allow a single gesture to perform various functions depending on the active appliance, reducing the cognitive load and number of gestures users need to remember. For example, a lifting gesture might increase TV volume or a fan’s speed depending on the device being controlled at the time. The scenario-based approach further simplifies interaction by allowing a single gesture to execute multiple related commands across different devices. User testing shows that the context-sensitive model was preferred, with 85% of participants responding favorably, highlighting its effectiveness in simplifying the control of various home functionalities without overwhelming the user. This approach not only enhances user experience but also supports independent living for older adults by making technology more accessible and intuitive.
Existing research demonstrates that smart home technologies (SHTs) have significantly progressed in functionality, offering substantial benefits in terms of convenience, safety, and health monitoring, particularly tailored to meet the needs of older adults. These technologies each play a distinct role in creating an effective and supportive living environment for older adults, enabling them to maintain their independence while ensuring their safety and well-being. The foundation of modern smart homes is the Internet of Things (IoT), which connects various devices and appliances within the home to the internet. This integration allows for seamless interaction and automated control over the home environment, adapting to the occupants’ habits and preferences. For example, smart thermostats can automatically adjust the temperature based on the weather and the residents’ schedule, while smart locks can provide secure, keyless entry based on digital permissions.
One of the earliest home automation systems, X10, utilizes the home’s existing electrical wiring to transmit control signals to various connected devices. This technology enables older adults to easily control lighting, security cameras, and other appliances without the need for complex installations or setups, making it a cost-effective option for enhancing home automation. Both Z-Wave and ZigBee employ low-energy radio waves to establish a network of connected smart home devices. Z-Wave is particularly valued for its robust security features and the creation of a large mesh network, enhancing the system’s reliability across a larger area. Conversely, ZigBee operates at higher frequencies and can handle more data, making it ideal for tasks that require significant data throughput, such as advanced security systems or streaming high-definition audio and video content.
The U-Health Smart Home Project specifically targets health monitoring integration into living spaces for older adults. It employs sensors and smart medical devices to continuously track vital signs and other health metrics. For instance, bed sensors can monitor sleep quality and duration, while wearable devices can track heart rate and physical activity, providing alerts to caregivers or medical professionals if abnormalities are detected. In smart homes, RFID technology is often used for security and personal identification. Embedding RFID tags in wearable devices, such as bracelets or key cards, enables the system to recognize individuals and tailor environmental settings to their preferences. Additionally, RFID can enhance home security by restricting access to certain areas or making it easier for residents to interact with their environment without physical contact.
Wearable electronics, such as smartwatches and fitness trackers, are central to personal health monitoring in smart homes. These devices continuously collect data on vital signs and physical activity, which can be analyzed to monitor health trends and potentially detect early signs of medical issues. For example, a smartwatch might detect irregular heart rhythms and alert both the user and their healthcare provider. Wireless sensor networks (WSNs) involve multiple sensors distributed throughout the home to monitor various environmental and structural parameters, such as temperature, humidity, and motion. These sensors facilitate automated responses, such as activating the heating, ventilation, and air conditioning (HVAC) system when a room reaches a certain temperature or triggering security alarms if unexpected movement is detected at night.
Artificial intelligence (AI) technologies analyze the data collected from various sensors and devices within the smart home to learn about the residents’ behaviors and needs. This insight allows AI to automate routine tasks, such as adjusting lighting and temperature, suggesting meal plans based on dietary restrictions and available ingredients, or even managing medication schedules. Computer vision allows smart home systems to interpret visual information from cameras and sensors. It is particularly useful for security applications, enabling the system to recognize faces, detect unusual movements, and provide alerts about potential threats or emergencies, such as detecting a fall or unauthorized entry. Semantic web technologies improve the interoperability of smart devices by using common data formats and protocols, ensuring that devices from different manufacturers can communicate effectively. This integration facilitates a more user-friendly and cohesive operation of the smart home environment.
Nanotechnology and biotechnology are pushing the boundaries of health monitoring in smart homes by developing devices that can interact directly with biological systems. For instance, microscopic sensors embedded in wearable devices can continuously analyze blood samples to monitor glucose levels or detect pathogens, offering real-time health insights and preemptive care options. Depth video cameras add another dimension to home security and functionality by capturing not only images but also the spatial relationships within a scene. They can be particularly valuable for applications that require precise motion detection, such as advanced security surveillance or assisting older adults with mobility challenges to navigate their homes safely. Gesture-based interaction systems allow older adults to control various aspects of their home environment through simple hand gestures. This technology reduces reliance on physical controls or complex interfaces, making it easier for users with limited mobility to interact with their home environment effectively.
Integrating various SHTs can significantly enhance the quality of life for older adults by optimizing their living environment for comfort, security, and health. Beginning with IoT devices, AI, and wearables, a typical morning routine for an older adult might include waking up, taking medications, and having breakfast. IoT-enabled appliances, such as coffee makers, can automatically start brewing as the resident wakes up. Simultaneously, wearable devices monitor sleep patterns and vital signs, and AI interprets these data to adjust lighting, temperature, and even play soothing music if it detects any abnormalities, such as a significant change in heart rate. This integration ensures a smooth start to the day by automating routine tasks and monitoring health metrics. Next, the integration of RFID and computer vision enhances security. RFID-enabled key cards or bracelets can be assigned to family members and caregivers, allowing them access to the home. As someone approaches the door, RFID confirms the card’s validity, while computer vision analyzes the visitor’s face to verify their identity. If there is a mismatch or unauthorized attempt, the system alerts the homeowner and local security services. This dual-layer security ensures that only recognized and authorized individuals can enter, providing peace of mind to the resident. Environmental control is crucial for comfort and health, achieved through the integration of Z-Wave/ZigBee with WSNs. Sensors throughout the home monitor temperature, humidity, and air quality, communicating with the HVAC system via Z-Wave or ZigBee to adjust settings automatically. For example, if a room becomes too cold or overly humid, the system can modify the heating or air conditioning settings accordingly, maintaining optimal comfort without any manual intervention. For older adults with mobility limitations, depth video cameras and gesture-based interaction systems provide an invaluable service. These cameras detect specific gestures, allowing residents to control lighting, televisions, window blinds, and other home devices with simple hand movements. This system eliminates the need for physical reach and manual operation, enabling easy and accessible control of the home environment. Semantic web technologies integrated with IoT ensure that devices from different manufacturers can operate together seamlessly. This integration allows residents to control all connected devices through a single interface, enhancing the usability of the smart home system. For example, a resident could adjust a thermostat, check security cameras, and manage lighting through a unified app, regardless of the brand or model of the devices. Health monitoring and emergency response are addressed by integrating the U-Health Smart Home Project with wearables. Continuous monitoring of health metrics through wearable devices and embedded sensors in the home allows for an immediate response if a fall is detected or abnormal vitals are recorded. The system can automatically contact emergency services and inform family members, ensuring that timely medical help is provided. By weaving all these systems together, a smart home can provide a supportive, adaptive, and secure environment that caters specifically to the needs of older adults, enhancing independence and ensuring safety and health in daily living. This cohesive approach demonstrates the powerful potential of SHTs to transform living spaces into safe, comfortable, and health-conscious environments for older adults.
Table 7 presents an overview of various smart home technologies, their integration methods, benefits, and associated challenges, highlighting how these technologies can enhance healthcare management, improve convenience and safety, and support independent living for older adults.
4.3.4. User Interaction and Experience in Smart Homes: Understanding and Improving Engagement
Studies in this section focus on user interaction with SHTs and the overall user experience. These works assess how users perceive, interact with, and benefit from smart home systems, with an emphasis on usability, acceptance, and satisfaction. The research aims to identify factors that influence the adoption of smart technologies and how these systems can be designed to better meet the needs and preferences of users, particularly older adults.
Turjamaa et al. [
54] conducted an integrative review analyzing how SHTs support older adults in their daily lives. They collated data from sixteen studies, emphasizing the benefits of smart homes in enhancing daily living and safety for older adults. The review revealed that smart homes facilitate everyday activities, promote healthier lifestyles, and provide a sense of security, which is crucial for older adults who wish to live independently. The technologies discussed include automated systems for routine tasks and emergency alerts, as well as devices for health monitoring and social communication. Despite these advancements, the review identified a critical lack of older adult involvement in the development of these technologies. The authors argued that the perspectives and experiences of older adults are essential for tailoring SHTs to better meet their needs. Furthermore, while these systems improve physical safety and support daily activities, they also need to be developed in a way that considers maintaining and enhancing the social relationships of older adults, thereby avoiding the risk of social isolation. The study underscored the potential of SHTs to transform living environments for older adults, but it also calls for more inclusive and participatory approaches in technology development to fully realize this potential. This includes continuous collaboration between technical developers, healthcare professionals, and older adults to ensure that smart home solutions are both effective and aligned with the users’ actual needs.
Liu et al.’s [
43] systematic review and meta-analysis examined the impact of SHTs on older adults with chronic conditions. This study, which included fifteen randomized controlled trials (RCTs), assessed the effects of smart homes on hospital admissions, emergency department visits, days spent in hospitals, quality of life, and satisfaction with the technology. The meta-analysis revealed no significant reductions in hospital or emergency department admissions, nor in the days spent in hospital due to tele-monitoring. There was also no significant improvement in the quality of life associated with the use of these technologies. However, the study noted a positive effect of tele-monitoring on physical functioning and a reduction in depression among older adults, suggesting that while SHTs may not significantly alter healthcare usage or perceived quality of life, they could contribute positively to specific health outcomes. The majority of participants expressed satisfaction with the smart home setup, highlighting its acceptance among the older adult population. This suggests that despite the lack of significant findings in some health-related metrics, the perceived benefits and satisfaction could encourage continued use and further refinement of SHTs in older adults’ care.
Pietrezak et al. [
49] conducted a literature review to assess the efficacy of SHT in preventing falls among community-dwelling older adults. Their systematic review included studies that explored the use of various SHTs, such as fall detectors and motion sensors, aimed at preventing falls or reducing the fear of falling. The results from these studies, however, provided limited evidence that SHTs are effective in reducing fall rates or the fear of falling among older adults. Despite the lack of significant reductions in falls, the review found that older adults generally had positive attitudes toward the technology, valuing the increased sense of security and independence it provided, which could contribute to prolonging independent living. Privacy concerns and the intrusiveness of technology were noted but were deemed less significant compared to the perceived benefits. The review also highlighted the importance of user-friendly designs and adequate technical support to facilitate the adoption and effectiveness of these technologies.
Suresh and Sruthi [
78] provided a review of SHT, focusing on its applications, technological challenges, and future research directions. Their study examined the integration of various SHTs aimed at enhancing the quality of life for older adults and disabled individuals through automation and energy conservation. They explored the increasing use of home automation systems that facilitate independent living by managing everyday tasks and monitoring health and safety. The authors highlighted the critical role of these technologies in reducing energy consumption through intelligent management systems and discussed the broader implications for e-health and telemedicine within smart homes. However, they also pointed out significant barriers to adoption, such as high costs, technological complexities, and concerns about privacy and data security. The authors concluded that while SHTs hold significant promise for improving living conditions, particularly for vulnerable populations, there is a pressing need for continued research and development to address these challenges and ensure the widespread acceptance and effectiveness of these systems.
Peetoom et al. [
40] conducted a literature review focusing on the use of monitoring technologies to assist older adults in living independently. Their review identified various technologies designed to monitor daily activities and significant events, such as falls, highlighting the promising role these technologies play in supporting older adults. Five main types of monitoring technologies were described: passive infrared motion sensors, body-worn sensors, pressure sensors, video monitoring, and sound recognition, with additional mentions of multicomponent and SHTs. While the potential of these technologies to prolong independent living and reduce hospital visits and healthcare costs is acknowledged, the review also pointed out that research in this area is still in its early stages, predominantly featuring small-scale and short-term studies. The effectiveness, user acceptance, and cost-efficiency of these technologies remain under-examined in long-term scenarios. The authors suggested that further research is required to validate these technologies’ effectiveness in real-world settings and over longer periods, which is crucial for their broader adoption and to realize their full potential in aiding older adults.
Elers et al. [
59] conducted a qualitative study exploring user requirements for technology that supports aging in place for older adults and their informal support networks. The research revealed three main themes influencing technology adoption: social enablers, technology concerns, and information desired. The “social enablers” theme highlighted the positive role of informal support networks in encouraging technology use, which aids in maintaining older adults’ independence and safety. Timing was identified as crucial, with technology adoption seen as beneficial either currently or in the near future, depending on the individual’s needs. The “technology concerns” theme addressed significant issues, such as cost, usability, security, and privacy, noting that these factors can act as barriers to technology adoption. Concerns were also raised about technology potentially replacing face-to-face interactions, which are valued for their depth and emotional connection. Lastly, the “information desired” theme examined the types of information that should be collected and shared via technology, emphasizing the importance of respecting older adults’ privacy and autonomy in deciding what information is shared and with whom. This study not only underscored the potential of technology to enhance the well-being of older adults by supporting their ability to live independently but also highlighted the need for designs that address both practical and interpersonal aspects of technology use in aging populations.
Gudmundsson [
84] carried out a qualitative analysis of older adult citizens’ perceptions and acceptance toward SHT aimed at supporting their independence and welfare. Conducted in a care housing setting, this study integrated the Unified Theory of Acceptance and Use of Technology (UTAUT2) [
87] to frame the investigation, focusing on how the technology aligns with older adults’ desires to age in place. The findings revealed a complex relationship between older adults and the technology. While some participants saw potential benefits, especially in terms of safety and maintaining independence, there were notable hesitations concerning the usability and intrusion of technology into daily life. The study underscored that despite the promise of SHT in enhancing older adult living, the actual acceptance hinges significantly on individual attitudes toward technology, perceived complexity, and the tangible benefits it offers. Moreover, Gudmundsson [
84] highlighted the influence of social enablers, such as health professionals and peers, in shaping older adults’ attitudes toward technology. Older adults expressed a conditional acceptance of smart technology—if it is easy to use and clearly beneficial without being intrusive. This nuanced view suggests that while technology can support aging in place, its design and implementation need careful consideration to meet the actual needs and preferences of older adult users. The study thus calls for a more user-centered approach in the development of SHTs for older adults, ensuring they enhance rather than complicate the lives of the intended users.
Tural et al. [
44] examined adults’ attitudes and intentions toward adopting SHTs, which could contribute to safe and active aging in place. The study employed a sequential mixed-methods approach, combining online and in-person surveys with a focus group discussion to gather comprehensive insights from community-dwelling older adults aged 50 and above. The research revealed that perceived usefulness is a consistent predictor of positive attitudes and the willingness to use smart home products. While smart fire prevention devices received favorable views due to their potential safety benefits, the affordability of these devices significantly influenced the older adults’ intentions to incorporate them into their homes. The focus group discussions highlighted several key determinants impacting attitudes toward smart home products, including skepticism about technology, privacy concerns, and concerns about the return on investment. These factors contribute to a nuanced understanding of the barriers and facilitators to SHT adoption among older adults. This study provided vital insights into designing and marketing SHTs that are aligned with the needs and preferences of older adults, emphasizing the necessity of user-friendly designs that address privacy and affordability to enhance adoption rates.
Cao et al. [
58] explored the factors influencing the decision-making process for the adoption of smart home sensors (SHS) by older adults in Singapore. The research identified both intrinsic and extrinsic factors that impact older adults’ decisions to adopt such technologies. Intrinsic factors included the users’ understanding of the technology, its perceived usefulness, and the benefits, while extrinsic factors included affordability and community care support. The findings revealed that 74% of the participants adopted SHS after an intervention period, which involved installing SHS in their homes. The main reasons for adoption were the perceived benefits of increased safety and the convenience of monitoring health and activity without intrusion. However, 26% of participants chose not to adopt SHS due to privacy concerns, lack of family support, and perceived complexity or irrelevance of the technology. The study highlighted the necessity of involving older adults in the design process of SHS to ensure these systems are user-friendly and meet the actual needs of the end-users. Furthermore, it suggested that providing clear and comprehensive training on how to use these technologies and demonstrating their direct benefits can enhance adoption rates. This research emphasized the complex interplay of personal understanding, perceived benefits, and socioeconomic factors in the adoption of SHTs by older adults, pointing toward the need for strategies that address these diverse aspects to improve technology uptake in this growing population segment.
In their qualitative study, Zhao et al. [
36] explored the expectations and acceptability of smart nursing home models among older Chinese individuals and their families. The study identified key expectations, including the desire for quality care supported by both government and social systems, the integration of smart technology applications, the presence of skilled healthcare professionals, access to basic medical services, and comprehensive integration of these services. The participants saw smart nursing homes as potentially enhancing the quality of care and improving their quality of life through innovative technology applications, such as health monitoring and emergency management systems. They also expected these homes to provide a link between traditional healthcare facilities and at-home care through smart technologies, thereby enhancing the continuity and accessibility of care. Acceptability of the smart nursing home model was largely influenced by its perceived efficacy, usability, and the tangible benefits it could offer, such as improving care quality and personal independence. Factors such as age, economic status, health condition, and openness to technology among older adults also significantly influenced their acceptance of smart nursing homes. The study underscored the importance of considering these factors when planning and implementing smart nursing home models to ensure they meet the needs and expectations of older adults and their families effectively.
Current research emphasizes the critical role SHTs play in enhancing the daily lives of older adults, primarily through health monitoring, safety features, and enabling independent living. Studies consistently point to the need for smart home solutions to be user-centric, incorporating the direct input and preferences of older adults to ensure the technologies align with their unique needs. Furthermore, the emphasis on intuitive design, ease of use, and robust technical support highlights an essential requirement for smart homes to be widely accepted and effectively used by the older adult population. However, the outcomes from the integration of these technologies are mixed, with significant benefits in physical performance and safety contrasted against less clear impacts on overall quality of life and hospitalization rates. This suggests a nuanced interaction between user expectations and technology performance, underscoring the importance of personalization in smart home applications. The research advocates for continuous adaptation and refinement of these technologies, focusing on enhancing their accessibility, reliability, and relevance to older adults’ lifestyles. Moreover, the studies reveal that successful adoption of SHTs among older adults not only hinges on the functionality of the devices but also on the broader support systems that include family and community engagement. This integrated approach ensures that SHTs are not merely tools but part of a strategy to improve the quality of life for older adults, addressing both their physical and social needs. The exploration of these technologies, therefore, continues to evolve, pointing toward a future where smart homes could become integral to older adults’ care, provided they are developed with a deep understanding of the end-users’ preferences and everyday challenges.
Table 8 provides an overview of different smart home technologies, their advantages and disadvantages, and recommendations for improving their adoption and effectiveness among older adults, with a focus on user interaction and experience.
4.3.5. Smart Home Design and Accessibility: Creating Inclusive and User-Friendly Solutions
This section addresses the design and accessibility aspects of smart homes, focusing on how architectural, ergonomic, and technological design can enhance the livability and functionality of smart environments for all users, with a particular focus on aging populations. The works discuss the need for homes that not only incorporate advanced technology but also prioritize user-friendly, inclusive, and adaptable designs that support the diverse needs of individuals, fostering independence and improving quality of life through thoughtful innovation.
Yu et al. [
30] evaluated the diverse needs of older adults for SHTs in South Korea, categorizing them into five distinct lifestyle-based groups. Their study, based on a questionnaire that assessed aspects such as home activities, social events, and overall quality of life, revealed significant variations in the preferences and priorities for smart home functionalities across these groups. One group comprised older adults who are ‘Tired of Housework’ and seek technologies to alleviate the burden of daily chores and house maintenance. Another set, referred to as ‘Just Rest’, included individuals who favor technologies that enhance comfort and relaxation to aid leisure and rest. There was also an ‘Active at Home’ segment of older adults who appreciate technologies that support physical activity and engagement within their living space. Conversely, the group labeled ‘Poor Quality of Life’ benefit from functions that focus on health monitoring and emergency management to improve their living conditions. Lastly, older adults with a ‘High Quality of Life and Good Health’ still value technologies that help maintain their well-being and support efficient health management. The reported findings indicated that the need for 16 out of 26 smart home functions varied notably across these groups, with some prioritizing assistance for daily tasks and health monitoring while others valued enhancements in social connectivity or environmental management. This underscored the critical importance of adopting a user-centered design approach in the development of SHTs to cater effectively to the varied lifestyles and health needs of the aging population, ensuring that the solutions provided genuinely support their independence and enhance their quality of life.
Liu and Tamura’s research [
80] investigated the integration of smart home technologies (SHTs) to support the aging population in maintaining independence and improving connectivity. Their study focused on the “New elders” in China, defined as older adults who remain active in society post-retirement. The central finding was that the essential need of these older adults is ‘connectivity’, which includes both physical and psychological aspects. The researchers argued that the primary goal of SHTs for older adults should be to enhance this connectivity, thereby improving their quality of life and enabling independence, safety, and happiness. They highlighted the potential of smart homes to meet the diverse needs of older adults, including basic needs of connectivity, health management, and social interaction, through technology. By integrating intelligent systems within the home, these technologies can streamline daily routines, offer health monitoring, and support social interactions that might otherwise decrease with age. The study emphasized the importance of designing smart home systems that are technologically advanced yet attuned to the specific needs and preferences of the older adult population, aiming to create a comprehensive living experience that promotes well-being and satisfaction.
Kon et al. [
83] explored the effectiveness of SHTs in assisting older adults in six key areas: safety, health and nutrition, physical activity, personal hygiene and care, social engagement, and leisure. Their findings indicated that while smart homes are adept at enhancing safety and health management, including fall detection and vital signs’ monitoring, there are notable deficiencies in personal hygiene, care, and leisure activities. The researchers stressed that smart homes should not only address essential functions but also enhance the overall quality of life by fostering social engagement and leisure activities, which are often neglected. Despite technological advancements, the adoption of these systems by older adults largely depends on their ease of use, perceived benefits, and how well they address privacy concerns.
By juxtaposing Liu and Tamura’s [
80] findings with those of Kon et al. [
83], we gained a more comprehensive understanding of smart home technologies’ (SHTs) potential to enhance the lives of older adults. Both studies underscored the pivotal role of connectivity and social engagement in improving the elderly’s quality of life. Liu and Tamura [
80] underscored a broad concept of connectivity that encompasses physical, psychological, and social dimensions. In contrast, Kon et al. [
83] identified specific gaps in social engagement and leisure within current SHT implementations. Both sets of researchers converged on the necessity for SHTs to provide a holistic and inclusive approach, addressing all facets of elder care beyond mere safety and health monitoring. Integrating Liu and Tamura’s emphasis on holistic connectivity [
80] with Kon et al.’s detailed examination of daily life assistance [
83] offers a clear direction for the evolution of SHTs. Future designs should not only advance technological capabilities but also cater to the distinct needs and preferences of older adults, ensuring that these systems promote comprehensive connectivity. This approach will result in smart homes that support overall well-being, foster social interactions, and enhance contentment for the aging population.
Humphreys [
39] critically examined the potential of SHT to support older adults living independently. The study evaluated various smart home components, such as health monitoring, fall detectors, and daily living activity monitors, that are integral to aiding older adults in their own homes. Despite the advanced technological integrations aimed at facilitating independent living and preventing hospitalizations, Humphreys highlighted a significant gap in the evidence concerning the effectiveness of these technologies on actual health outcomes, such as reducing falls or improving the overall quality of life. The review underscored the challenges in assessing the real-world impact of these technologies, noting a scarcity of rigorous implementation studies that go beyond the feasibility and functionality to actually measure the impact on health outcomes. Furthermore, it pointed out the psychological aspects, indicating that while some users find the technology reassuring, increasing their confidence and sense of security, others may feel heightened awareness and anxiety regarding their risks in daily activities. Thus, while SHTs hold potential benefits in supporting aging in place by monitoring health and ensuring safety, Humphreys calls for more high-quality research and large-scale demonstrative projects to thoroughly ascertain their effectiveness and impact. This approach will help in overcoming barriers to adoption and utilization, ensuring that SHTs can truly meet the needs of older adults in a practical, reassuring, and health-promoting manner.
In their systematic literature review, Facchinetti et al. [
31] explored the impact of SHTs on managing chronic diseases in older adults. The study categorized these technologies into three groups: smart home systems with environmental sensors, external memory aids involving mobile apps, and hybrid technologies combining multiple devices with telemedicine capabilities. The review evaluated the efficacy of these technologies in maintaining or improving various health outcomes, such as vital signs, medication management, daily living activities, mobility, falls, and overall quality of life. The findings indicated that smart homes can significantly aid in monitoring and managing health, potentially reducing the exacerbation of chronic conditions and improving safety by enabling independence. However, the study highlighted a crucial need for more comprehensive and long-term research to fully understand and quantify these benefits. Despite the promising potential, gaps in effectiveness, user acceptance, and cost-efficiency remain, suggesting that further technological advancements and rigorous evaluations are necessary to ensure these systems meet the complex needs of older adults effectively.
Miller et al. [
76] examined the intersection of aging and technology, specifically through the lens of aging in place within smart environments. Their study highlighted the crucial role of SHTs in supporting older adults’ desire to live independently in their familiar environments. They addressed how different living arrangements—such as personal homes, assisted living facilities, nursing homes, and family housing—present unique and overlapping challenges that can be mitigated through targeted technological solutions. The research discussed the development and application of various technologies aimed at enhancing the quality of life for older adults. These technologies include sensors to prevent accidents, robotic vacuums for automated cleaning, and digital assistants to support routine tasks. The study critically analyzed these technologies, pointing out that while they offer significant benefits, they must be designed to meet the specific needs and preferences of older adults across different living situations. This work emphasized the importance of integrating advanced technology with a deep understanding of the social and physical aspects of aging. This approach aims to ensure that aging in place not only becomes a feasible option but also supports a high quality of life. The findings suggested that while technology can provide critical support, it must be developed in close consultation with its end-users to truly address the diverse challenges faced by older adults.
Lê et al.’s [
42] study provided a detailed examination of the potential of SHTs to facilitate positive aging for older individuals. Their research assessed how these advanced systems can enhance the quality of life for older adults by supporting their independence and health, integrating various functionalities, such as health monitoring, emergency management, and daily living assistance, within a home environment. The study highlighted the benefits of smart homes, such as increased safety, improved communication, and greater convenience, which are crucial for older adults who may face physical and cognitive challenges. However, the authors also discussed several significant challenges related to the adoption and use of SHTs by older adults, including issues with accessibility, technology acceptance, and ethical concerns, such as privacy and autonomy. Overall, the authors advocated for a user-centered approach in the development of SHTs. They stressed the importance of considering the needs and preferences of older adults in the design process to ensure these systems are both beneficial and acceptable to the end-users. The research underscored the need for ongoing dialogue between developers, users, and policymakers to address these challenges and fully realize the potential of smart homes in supporting the aging population.
In their study, Alam et al. [
48] provided a review of SHTs, outlining their evolution from basic automated systems to advanced networks capable of enhancing healthcare, security, and energy management in residential settings. They explored the multifaceted applications of smart homes, particularly emphasizing their role in supporting older adults through enhanced monitoring and health management systems. The review discussed the integration of various technological components, such as sensors, communication protocols, and specialized algorithms, which collectively improve the functionality and efficiency of smart homes. The authors highlighted the significant benefits of smart homes in facilitating independent living for older adults, improving comfort through automation, and ensuring safety through advanced monitoring systems. However, the authors also addressed the challenges facing the widespread adoption of SHTs, including issues related to interoperability, privacy, and user acceptance. They suggested that future research should focus on developing user-centric designs, improving the robustness of communication systems, and ensuring the security of data to fully realize the potential of smart homes in enhancing the quality of life for their users.
Mallinson and Shafi [
70] explored the interplay between SHT and collaborative governance in the context of public policy, underscoring both the potential benefits and challenges. They highlighted how SHT can improve the quality of life for aging populations by promoting independence and reducing long-term healthcare costs. However, the authors identified significant governance and policy challenges, particularly concerning the protection and use of vast amounts of sensitive data collected by smart home devices. The study proposed the use of a collaborative governance framework to better integrate public and private efforts in regulating and advancing SHT. This approach aims to address the multifaceted issues of data privacy, security, and ethical concerns while also promoting innovation and user-friendly technology development. By fostering greater engagement from policy scholars and stakeholders, Mallinson and Shafi argued that more effective strategies can be developed for governing this rapidly expanding sector, thus ensuring that SHTs are implemented in ways that are both beneficial and ethical.
Moraitou et al. [
34] provided a systematic review of smart home care technologies designed for older adults and those with chronic diseases, emphasizing the technological, psychosocial, ethical, and economic challenges associated with their implementation. The authors explored various applications of these technologies, including physiological and functional monitoring, safety and security assistance, and social interaction enhancement. The study found that while SHTs have significant potential to improve the quality of life for these populations by enhancing health monitoring and daily living support, they also raise considerable challenges. Technologically, the integration of various devices and systems within a home environment requires advanced networking capabilities and standardization to ensure seamless functionality and user-friendly interaction. Psychosocially and ethically, the concerns about privacy, autonomy, and the potential reduction in human interaction highlight the need for careful consideration in technology design and policy formulation. Economically, the authors discussed the cost implications of SHTs, arguing that while they may reduce healthcare expenses by decreasing the need for in-person care services, the initial setup and maintenance costs can be significant. They advocated for a balance between cost and benefit, emphasizing the importance of designing systems that are both affordable and effective in meeting the health and social needs of older adults and chronic disease patients. The research underscored the complexity of implementing SHTs and the need for multidisciplinary approaches to address the diverse challenges they present.
Das et al. [
51] presented a study on the design and implementation of a smart home system specifically tailored for older adults and disabled individuals, leveraging a network of sensors and IoT technology to enhance living conditions. Their research outlined how SHT not only supports daily activities through automation but also provides critical monitoring for health and safety. The system includes features such as environmental controls, security measures, and emergency responses, all controlled via a centralized software platform that ensures real-time monitoring and intervention when necessary. The study highlighted the integration of a variety of sensors, such as motion detectors and appliance usage monitors, which collectively help to maintain an environment that is both safe and responsive to the needs of its residents. The results showed potential for reducing the need for constant human supervision, thereby increasing independence for users and reducing overall care costs. However, the authors also discussed the challenges faced in implementing such systems, including technical barriers, the need for continuous updates, and the adaptation of the technology to individual homes. They emphasized the importance of user-friendly designs and the need for systems to be scalable and adaptable to different home environments. The research underscored the critical role of SHTs in improving the quality of life for older adults and disabled individuals, suggesting ongoing development and refinement are key to their broader adoption.
In the study by Deen [
68], a comprehensive exploration of information and communications technologies (ICT) for ubiquitous healthcare within smart home environments for older adults was presented. The research highlighted the growing need for innovative healthcare solutions due to increasing life expectancy and the rising costs associated with traditional healthcare models, particularly in the context of an aging global population. Deen introduced several low-cost, non-invasive, and user-friendly sensor and actuator systems that are integrated into smart homes to address the pressing healthcare challenges faced by older populations. These technologies are designed to monitor health conditions in a non-intrusive manner, allowing older adults to continue living independently at home. Key functionalities included environmental sensing, health monitoring through wearable devices, and emergency management systems. The author discussed the potential of SHTs to significantly enhance the quality of life for older adults by improving safety, increasing independence, and reducing healthcare costs. These systems enable remote monitoring of vital signs and physical activity, potentially decreasing the need for frequent hospital visits. Additionally, the integration of intelligent computing and sensors facilitates the early detection of health deteriorations, allowing for prompt medical interventions. This research provided valuable insights into the integration of advanced ICT in smart homes, proposing a future where older individuals can receive comprehensive care within the comfort of their own homes, thereby addressing both economic and social challenges associated with aging populations.
Do et al. [
71] presented a study on a Robot-Integrated Smart Home (RiSH) system, specifically designed to enhance care for older adults through advanced assistive technologies. This system integrates a home service robot with a home sensor network, body sensors, mobile devices, cloud servers, and remote caregivers, providing a multi-layered approach to support for older adults. Their research demonstrated the capability of RiSH to effectively recognize and track human body activity using inertial measurement units (IMU) and to perceive the environment through audio signal processing. The development of specific applications, such as human localization and tracking, as well as human activity recognition, extends the robot’s perception beyond its onboard sensors, utilizing particle filter-based and Dynamic Bayesian Network-based methods. These applications achieved notable accuracies in tracking and activity recognition in their testbed experiments. The functionalities of the RiSH system include human activity recognition, which helps in monitoring daily activities and ensuring the well-being of older residents. It is also equipped for emergency detection and response, particularly geared toward detecting falls, thereby ensuring timely medical attention or intervention. Sound event detection utilizes sound-recognition technologies to understand various household sounds, playing a crucial role in activity recognition and environmental understanding. The integration with a home service robot allows it to act as a mobile sensor and actuator, able to interact with residents, provide companionship, and perform simple tasks. Additionally, environmental sensing monitors conditions, such as temperature and light, ensure the environment is safe and comfortable for older adults, while cloud connectivity facilitates remote monitoring and data-driven insights into the health and activities of the residents. These functionalities combine to create a comprehensive support system within the home, focusing on safety, monitoring, and interactive assistance. The high-level application of the system is designed to detect and respond to human falls, showing promising results in managing care for older adults more effectively. The experiments conducted with twelve human subjects validated the system’s auditory perception services, human body activity recognition, position tracking, sound-based activity monitoring, and fall detection and rescue capabilities. The authors reported that the robot successfully recognized 37 human activities through sound events, with an average accuracy of 88% and detected falling sounds with an accuracy of 80% at the frame level, indicating robust operation of various components within the RiSH system.
In the study conducted by Torta et al. [
64], the effectiveness of a small, socially assistive humanoid robot in smart home environments for care of older adults was evaluated. This research explored both short-term and long-term impacts of the robot on older adults’ acceptance and emotional engagement, offering insights into its utility as a proactive interface in a smart home setting. The robot was tested in real-world scenarios within smart homes, aiming to provide multimodal communication channels and generate positive emotional responses among older adults. The study demonstrated that the robot was trusted by participants, who might engage in an emotional relationship with the technology over time, although perceived enjoyment decreased. Notably, the robot effectively recognized and tracked human activities using inertial measurement units and environmental perception through audio signal processing, which included capabilities such as human localization, activity recognition, and fall detection. The findings suggested that while the robot was generally well-received and trusted, the novelty and enjoyment factors might diminish over time, indicating the need for continuous adaptation and enhancement in functionalities to sustain user interest and emotional engagement.
Norell Pejner et al. [
60] presented a mixed-methods study protocol for developing a smart home system designed to support information sharing, health assessments, and medication self-management for older adults. This protocol outlines a participatory design approach involving various stakeholders, including older adults, caregivers, and industrial partners to ensure the system meets the actual needs of its users. The smart home system, referred to as the Intelligent Age-Friendly Home (IAFH), is intended to evolve and adapt to the changing needs, preferences, and behaviors of its users. It integrates various components, such as health behavior assessments, communication of health data, and personalized medication reminders. These functionalities are supported by advanced home sensors and digitalized systems that facilitate accurate health monitoring and effective communication between care receivers and providers. The study’s phased approach, from conceptualization to full-scale intervention, aims to iteratively develop and refine the system, with a strong focus on user participation and real-world applicability. This methodical progression ensures that the system not only supports medication management but also enhances overall healthcare decision-making through improved information accuracy and accessibility. The ultimate goal is to promote independence among older adults by allowing them to manage their medications more effectively and safely within their home environments.
Existing research underscores a significant focus on enhancing the quality of life for older adults through adaptive and user-friendly environments. Studies suggest a strong need to develop smart homes that are not only technologically advanced but also tailored to meet the diverse needs and preferences of older adults. These environments often integrate a variety of functionalities, from health monitoring and fall detection to medication management and emergency response, highlighting the versatility and potential of smart homes to support independent living. The research highlights several key areas of focus: the importance of designing interfaces that are easy to use and understand, the need for systems that can be customized to individual preferences, and the critical role of security and privacy in the adoption of SHTs. Additionally, the engagement of older adults in the design process is crucial for ensuring that these technologies are practical and relevant to their daily lives. Moreover, the studies reveal that while smart homes have the potential to significantly improve safety and autonomy for older adults, there are still challenges related to technology acceptance and integration. These challenges include overcoming technical complexities, ensuring adequate support and training for users, and addressing potential issues related to privacy and data security.
Table 9 provides an overview of key focus areas and insights on smart home design and accessibility, highlighting inclusive and user-friendly solutions for the aging population.