Automatic Discovery and Recognition of Activities in Smart Environment
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
The machine learning and pervasive sensing technologies found in smart homes offers opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. To monitor the functional health of smart home residents, there is a need to design technologies that recognize and track activities that people normally perform as part of their daily routines. The existing approaches are applied to activities that have been preselected and for which labeled training data are available. For this, an automated approach is proposed for activity tracking, which identifies frequent activities that naturally occur in an individual’s routines. With this capability, the occurrences of regular activities are monitored and also can detect the changes in an individual’s patterns.
Authors and Affiliations
L. Karthika , A. C. Sumathi
Keywords
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