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Title:Personalized Implicit Health Monitors
Author(s):Chen, Nicholas; Lee, Yun Young; Rabb, Maurice
Contributor(s):Schatz, Bruce
Subject(s):Health
Healthcare
Computer-related Health Issues
Human Factors
Abstract:A person’s psychological well-being can be deduced by observing her past, current and future behaviors. However, little effort has been made to qualify, quantify and correlate a person’s behavior to her psychological well-being using non-intrusive health monitors. This report presents our attempts at using non-intrusive health monitors to observe a person’s diet, exercise and sleep patterns to determine possible correlations with her stress levels – a common measure of psychological well-being. Our preliminary study of monitoring three subjects daily for a period of seven continuous weeks shows that such non-intrusive monitoring yields interesting insights in correlating a person’s stress levels. Our study also reveals important design decisions that should be considered in order to reliably and effectively deploy long-term personalized implicit health monitoring systems involving ordinary people in the real world.
Issue Date:2010
Genre:Technical Report
Working / Discussion Paper
Type:Text
Language:English
URI:http://hdl.handle.net/2142/15453
Publication Status:unpublished
Peer Reviewed:not peer reviewed
Date Available in IDEALS:2010-05-04


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