Wearable Sensors and IoT Devices Applied in Daily Life
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 37112
Special Issue Editors
Interests: ehealth; einclusion; human computer interaction; accessibility
Special Issues, Collections and Topics in MDPI journals
Interests: personalized health; ubiquitous computing; mobile healthcare; integrated care
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT), sensors networks and wearables are already everywhere, transforming our lives, even when we are not totally aware that the device that we are using is part of the IoT ecosystem. Home automation, eHealth, disaster management, security systems, smart cars, process automation, and farming are only some of the common domains that have definitively changed with the use and application of these technologies.
These technologies are revolutionizing some aspects of our lives; they have created an unprecedented network, which is connecting devices, individuals, data and services; meanwhile, they have brought previously unseen challenges, including 1) new user experiences and human-machine interactions and collaboration; 2) empowerment of final users and their need of technological literacy; 3) efficient, secure and safe data management; 4) new formats of data visualization.
In this Special Issue, we invite original research papers aiming to promote novel and innovative applications and services that take advantage of IoT technologies to solve or improve activities of daily living in any domain. We are also interested in investigations of the impact of these IoT-based services in different aspects of our daily life, such as wellbeing, social relationships, workability, leisure and sustainability.
Dr. Maria Fernanda Cabrera-Umpiérrez
Dr. Maria Teresa Arredondo Waldmeyer
Dr. Patricia Abril Jiménez
Guest Editors
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Keywords
- smart applications
- wearables
- data fusion
- data analytics and visualization
- support systems
- sensors networks
- machine learning
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