IoT, Edge Computing and AI: Enabling Emerging Intelligent Applications

Dear Colleagues,

One of the critical factors for digital healthcare transformation is the proliferation of Internet of Things (IoT) devices to support healthcare and wellbeing. These devices allow connected and remote management of citizens’ healthy living and wellbeing, particularly as occasioned by the current coronavirus pandemic. IoT devices, i.e., wearable devices, from fitness trackers to portable blood pressure and insulin monitors, etc., generate an incredible amount of data, which could be analyzed to make time-critical and delay-sensitive decisions. However, current solutions rely on data processing and management in the cloud, which does not support time-critical decision making. Therefore, emerging and disruptive technologies such as edge computing, artificial intelligence (AI) and machine learning (ML) have the potential to address the challenges of citizens’ health and wellbeing using IoT and edge devices. With these technologies, data can be processed at the network edge, closer to the citizens, thereby allowing critical data to be collected and processed in real time, arming healthcare givers with the essential knowledge to save lives.

In this Special Issue, the aim is to publish high-quality articles including reviews that address various challenges in the use of these technologies (AI, IoT, edge computing) to support the healthcare and wellbeing of citizens.

The topics of interest include but not limited to:

• Complex physical activity monitoring using IoT devices and AI;
• AI techniques for health and wellbeing monitoring and prediction using IoT devices;
• Security and privacy preservation of citizen sensitive data;
• mHealth sensing and apps in healthcare;
• Edge intelligence for healthcare management;
• Real time and context-aware wellbeing/activity monitoring using IoT devices;
• Edge computing for healthcare and citizens’ wellbeing management;
• Ambient intelligence for homecare management using AI and edge computing;
• Embedded AI for healthcare and wellbeing management;
• AI powered Edge devices for physical activity monitoring, such as sport activity monitoring;
• Mobile and ambient assisted living in smart home environment;
• Senior citizens activity monitoring;
• Medical image analysis;
• Supporting citizens with disabilities using edge devices and AI, e.g., dangerous situation recognition, best route recommendation for blind pedestrians;
• Security, privacy and trust in IoT for citizen’s healthcare and wellbeing;
• Other emerging applications of AI, Edge computing and IoT.

Dr. Abayomi Otebolaku
Prof. Gyu Myoung Lee
Prof. Edward Meinert
Dr. Asiya Khan
Dr. Gloria Iyawa
Guest Editors

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