Personal Health and Wellbeing Intelligent Systems Based on Wearable and Mobile Technologies

Dear Colleagues,

Wearable and mobile personal devices are becoming more ubiquitous, from smart phones, bands, glasses and watches to smart clothes and implants. These wearable sensing technologies can provide 24/7 physiological and movement data that enhance the knowledge base for the user or groups of users. They constitute the internal fabric of an Internet of Smart Things that provides the basis to better understand the user, what the user does, when, how and even why. Both physical and mental health related information can be extracted or inferred from the diverse nature of the data. This Special Issue aims to publish up-to-date research in developing personal applications, methods and algorithms based on information extracted or inferred from wearable and mobile sensor devices. This wealth of information facilitates users to better self-manage their health and wellbeing. Both theoretical models to process sensor data, proof of concept and user ready applications are welcome.

Some of the topics of interest for this Special Issue include:

• Data gathering from users and patients based on wearable technology and sensor devices
• Feature extraction from wearable sensors
• Probabilistic models and inference
• Machine learning techniques applied to wearable sensor data.
• Multi-sensor data fusion
• Learning from wearable data
• Optimization techniques and model training based on wearable sensor data
• Health and wellbeing models based on wearable sensor data
• Personal recommender systems for self-management for long term conditions
• Personal recommender systems for self-management in rehabilitation
• User interfaces and personalized feedback
• User experiments
• User applications
• Novel wearable sensor devices
• Big data in health from wearable devices
• Privacy, security and ethical aspects
• Adoption of wearable sensors by the national health systems in Europe
• Future trends
• Regulations in different countries

Prof. Dr. Mario Munoz-Organero
Guest Editor

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• wearable sensors
• mobile devices and applications
• personal health and wellbeing
• intelligent systems and machine learning algorithms
• Internet of Things