2020 - HealthWear2020

A variety of relevant health and fitness parameters are now being captured via an ecosystem of consumer-oriented wearable self-tracking devices, smartphone apps and related services. Techniques from information science, sociology, psychology, statistics, machine learning and data mining are applied to analyze collected data.
These techniques provide new opportunities to enrich the understanding of individual and population health. Self-tracking data can provide better measures of everyday behaviour and lifestyle and can complement more traditional clinical data collection, towards a comprehensive picture of 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 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.