Incorporating Temporal Reasoning into Activity Recognition for Smart Home Residents

Geetika Singla, Diane Cook

Smart environments rely on artificial intelligence techniques to make sense of the sensor data that is collected in the envi-ronment and to use the information for data analysis, predic-tion, and event automation. In this paper we discuss an im-portant smart environment technology — resident activity recognition. This technology is beneficial for health moni-toring of a smart environment resident but accurate recogni-tion is difficult for real-world situations. We describe our approach to activity recognition and discuss how incorporat-ing temporal reasoning improves the accuracy of our algo-rithms. We validate our algorithm on real sensor data col-lecting in our smart apartment testbed.

Subjects: 12. Machine Learning and Discovery; 1.6.1 Automated Device Modeling

Submitted: Apr 29, 2008

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