A platform for wearable physiological computing

摘要: Abstract As computers emerge, from the desktop and palm top, into everyday life, on to our bodies there are opportunities aggregate present data realize envision applications that have never before been possible. Tracking physiological state of individuals, at resolutions measured in thousandths a second instead visits per year, now makes it possible ascertain caloric intake expenditure, patterns sleep, contextual activities such as working-out driving, even parameters mental health. An award wining multi-channel wearable sensor has enabled collection natural settings thousands subjects engaged diverse activities. The resulting corpus 4 years aggregation yielded over 30 million minutes data. Data modeling efforts enable real-time presentation meaningful actionable information users their designated collaborators (physicians, family members, counselors, coaches, etc.) SenseWear system, its design summery experimental results ongoing research initiatives will be presented. This discussion show how ubiquitous, pervasive, collaborative computing converging manifest future as: wearable, personal, sympathetic.