It is estimated that today globally there exist more than 9 million wearable and 22 billion smart mobile devices, which are expected to grow exponentially in the coming years. These wearable and smart mobile devices are widely being utilized to capture many health and fitness parameters for monitoring normal people, patients, and higher quality of life (QoL) for ageing citizens. The business ecosystem based on consumer oriented wearable self-tracking devices, smartphone apps and related services is being developed. Various methods have been devised to collect data as well as analyses using data mining, machine learning, deep learning, statistics, information science, sociology, and psychology. Such techniques provide new opportunities to enrich the understanding of individual and population health. Data from wearable devices provide better measures of everyday behaviour and lifestyle, can complement more traditional clinical data collection, and pandemic analyses for a finer and comprehensive picture of individual and public health.

HealthWear will bring together researchers, developers, designer and industry professionals from both Healthcare community and University to discuss key issues, opportunities and obstacles for personal and public health data research. These include challenges of capturing, summarizing, presenting and retrieving relevant information from heterogeneous sources to support a new vision of pervasive personal healthcare.

Topics:

Wearable devices and systems
Printable and Flexible electronics
mHealth and/or eHealth
Personal Health Informatics
Pervasive Health
Wearable for Ambient Assist Living
Smart Glass, wearable imaging, projection devices
Earable devices
Activity Monitoring and Devices
Self-Tracking
Healthcare Knowledge Representation & Reasoning
Health Data acquisition, analysis and mining
Validity, reliability, usability and effectiveness of Self-Tracking devices
Social and Psychological investigation into Self-Tracking devices
Health Monitoring in clinical and lifestyle environments
Sensors and actuators for Wellness, Fitness and Rehabilitation
Innovative Algorithms for assessment
Life Coaching
Medical Self-diagnostics
Healthcare and edge computing
Deep-learning for wearable signals analysis
Wearable technology in medicine and health care
Wearable technology for medical applications
Wearable systems for clinical and biomedical uses
Wearable sensor technology for health monitoring
Wearable sensor technology for rehabilitation
Wearable technology and preventative healthcare
Health wearables and health tracking
Wearable medical devices for tele-home healthcare
Clinical effectiveness of health wearables
Privacy, security and consumer protection
Ubiquitous Input Devices
Wearable fashion
Experiment Design