11/1/2023 0 Comments Wireless rssi![]() ![]() We apply a Principle Component Analysis method that exposes the useful information from raw CSI. ![]() We present an efficient method to select the correct data from the Channel State Information (CSI) streams that were neglected in previous approaches. In this paper, we present a novel elderly activities recognition system by leveraging the fluctuation of the wireless signals caused by human motion. The device-free technique for activity recognition uses only the signals of common wireless local area network (WLAN) devices available everywhere. Nowadays, a novel promising technique has obtained more attention, namely device-free human activity recognition that neither requires the target object to wear or carry a device nor install cameras in a perceived area. Traditional activity recognition approaches depend on vision-based or sensor-based techniques. Human activity recognition, tracking and classification is an essential trend in assisted living systems that can help support elderly people with their daily activities. ![]()
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