Incorporating Temporal Reasoning into Activity Recognition for Smart Home Residents
نویسندگان
چکیده
Smart environments rely on artificial intelligence techniques to make sense of the sensor data that is collected in the environment and to use the information for data analysis, prediction, and event automation. In this paper we discuss an important smart environment technology – resident activity recognition. This technology is beneficial for health monitoring of a smart environment resident but accurate recognition is difficult for real-world situations. We describe our approach to activity recognition and discuss how incorporating temporal reasoning improves the accuracy of our algorithms. We validate our algorithm on real sensor data collecting in our smart apartment testbed.
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