Identification of Lifestyle Behavior Patterns with Prediction of the Happiness of an Inhabitant in a Smart Home

Vikramaditya Reddy Jakkula, G. Michael Youngblood, Diane J. Cook

With the rapid growth of the population and the increase in the elderly age group, there is a need to improve and maintain an independent, secure healthy lifestyle. A possible method to address this need is to apply intelligent technology using machine learning techniques in smart homes to remotely monitor an individual’s activities. The MavHome project uses a system of basic sensors to monitor an inhabitant’s in-home activity. We examine how smart homes can be used to detect behavioral and lifestyle patterns and from these findings provide suggestions to improve the lifestyle of the inhabitant.

Subjects: 12. Machine Learning and Discovery; 10. Knowledge Acquisition

Submitted: May 16, 2006

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