Human-powered wearable computing
IBM Systems Journal
Energy-Aware Routing for E-Textile Applications
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
MPTrain: a mobile, music and physiology-based personal trainer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Using a live-in laboratory for ubiquitous computing research
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Mobility profiler: A framework for discovering mobility profiles of cell phone users
Pervasive and Mobile Computing
Body sensor network mobile solutions for biofeedback monitoring
Mobile Networks and Applications - Special issue on Wireless and Personal Communications
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
BodyCloud: A SaaS approach for community Body Sensor Networks
Future Generation Computer Systems
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The area of medical monitoring and diagnostics is of particular importance and relevance today. Modern nanotechnology has reduced prices and size of increasingly sophisticated sensors. Short-range wireless communication has become advanced enough to support inexpensive active sensor systems. Wearable computing devices are ubiquitous and increasingly powerful. As a result of these advances, a growing number of health monitoring systems with increasingly sophisticated capabilities are available today. Moreover, there is growing public interest in products that allow individuals (from children to elders) to monitor and improve their own health. These trends create an increasing demand for platforms that aim to support and improve one's health and lifestyle. We propose Health-OS, a middleware platform for multi-device sensing that transparently monitors, stores, transmits, analyzes and presents various physiologically based signals. The objective is to unify an open group of sensing mechanisms with a myriad of computing platforms and applications via a common platform equipped with a software development kit.