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