Health Monitoring in an Agent-Based Smart HomeBy Cook, Diane J.; Das, Sajal; Gopalratnam, Karthik; Roy, Abhishek; 2003 International Conference on Aging, Disability, and Independence, pp. 154-156
Publication Date: May 2004
Paper discusses the MavHome project, which is conducted by the University of Texas at Arlington. The project’s goal is to create a smart home environment that can allow older adults and people with disabilities to live independent lives. The home utilizes sensors and automated environmental controls in order to maximize residents’ comfort and safety, while minimizing energy costs. The authors focus on a prediction-based algorithm that helps to determine home residents’ common activities, and reports significant changes in activities that could be indicative of a health emergency. The system collects a history of activities in order to determine common, repeatable patterns. Future actions are then predicted based upon similarity to past behavior algorithms. When deviations from these patterns are detected, the behavior is flagged based on the repeatability and level of change from normal patterns. A technical discussion of the creation of such algorithms is presented.
Published by: Rehabilitation Engineering Research Center on Technology for Successful Aging (RERC-Tech-Aging) (Website:http://www.phhp.ufl.edu/centers/rerc.htm)