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Smart homes offer a potential benefit for individuals who want to lead independent lives at home and for loved ones who want to be assured of their safety. We have designed algorithms to detect anomalies and predict events based on sensor data collected in a smart environment. In this paper we explain how representing and reasoning about temporal relations improves the performance of these algorithms and thus enhances the ability of smart homes to monitor the well being of their residents.
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