Hierarchical mixtures of experts and the EM algorithm
Neural Computation
International Journal of Mobile Communications
Monitoring human behavior in an assistive environment using multiple views
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
An Active Classification System for Context Representation and Acquisition
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Remote physiotherapy treatments using wireless body sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Mining and monitoring patterns of daily routines for assisted living in real world settings
Proceedings of the 1st ACM International Health Informatics Symposium
Evaluating a prototype for geo-referenced collaborative psychotherapy with mobile devices
CRIWG'10 Proceedings of the 16th international conference on Collaboration and technology
Wireless sensor network system for supporting nursing context-awareness
International Journal of Autonomous and Adaptive Communications Systems
Therapy: location-aware assessment and tasks
AH '12 Proceedings of the 3rd Augmented Human International Conference
Design and evaluation of Ubiquitous Information Systems and use in healthcare
Decision Support Systems
A Roadmap to the Introduction of Pervasive Information Systems in Healthcare
International Journal of Advanced Pervasive and Ubiquitous Computing
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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As treatments for life-threatening illnesses improve, life expectancy increases along with the proportion of healthcare dollars supporting chronic care. Combine this with the growing number of aging baby boomers (who are most at risk for these chronic diseases), and we see a greater demand for healthcare alternatives. Most people approach healthcare by reacting to triggered problems: when we get sick, we typically wait until the symptoms start interfering with our daily life, and then we visit a clinic. At this point, particularly for populations at risk such as the elderly and the chronically ill, the treatment can often be riskier and much more expansive than if the problem had been dealt with earlier. Conversely, a proactive approach to healthcare would in many cases result in more effective and much less expensive treatments, by predicting or detecting conditions earlier. This article demonstrates an approach that estimates normalized walking times in a multiperson home to show how we can use pervasive computing with neurobehavioral measurement to provide a practical and economically feasible way to make frequent assessments. This article is part of a special issue on Healthcare.