Session Type: Lecture (sequence of presentations with questions and answers)
Wearable devices are becoming more ubiquitous, from smart 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 can provide 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 thematic session aims to put together experts in developing personal applications based on information extracted or inferred from wearable 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 session include:
Contact: Mario Munoz-Organero, Universidad Carlos III de Madrid, Spain
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The AAATE Conference will take place from Sept 13-14 2017 in Sheffield as part of the AAATE Congress. Below are some related Special Thematic Sessions that may be of interest:
Usability, accessibility, innovation