Non-Wearable Uwb Sensor To Detect Falls In Smart Home Environment

2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)(2017)

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摘要
This paper proposes the use of Ultra-Wide Band (UWB) technology to detect falls in smart home environment. A bi-static setup is proposed in which the UWB sensor including both transmitter and receiver is mounted over the ceiling to monitor and detect falls among other types of inertial movements such as slow/ fast walking and lying down. The experimental results show that the proposed approach can monitor and detect falls efficiently through a real-time analyses of the streaming data generated by the UWB sensor. It also demonstrates that the ambient UWB sensor can be used as a promising fall detection solution in monitoring certain areas of high risks of falls in smart home environments.
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关键词
Activity modeling, Change detection, Classification, Random forest, UWB
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