An Action Recgonition System Based on WiFi

Xianggang Zhang, Meina Dong, Ting Zhang
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Abstract

Compared with the action recognition method based on wearable sensors and video, the action recognition technology based on WiFi has the advantages of extensive infrastructure, simplicity and no user interference. In this paper, we use the CSI data of WiFi signal to realize human actions recognition based on WiFi through the stages of data acquisition, data preprocessing and intelligent recognition. Preprocessing includes data Deduplication / interpolation, removing DC component of signal, removing abnormal data, data de-noising, segmentation of data flow. The typical U-Net is used as the action recognition network. In the experiment, through the recognition and verification of seven actions, the average accuracy rate reached 90.83%. In addition, the influence distances of the other actions are analyzed through experiments.
基于WiFi的动作识别系统
与基于可穿戴传感器和视频的动作识别方法相比,基于WiFi的动作识别技术具有基础设施广泛、简单、不受用户干扰等优点。本文利用WiFi信号的CSI数据,通过数据采集、数据预处理、智能识别等阶段,实现基于WiFi的人体动作识别。预处理包括数据重删/插值、去除信号直流分量、去除异常数据、数据去噪、数据流分割。使用典型的U-Net作为动作识别网络。在实验中,通过对七个动作的识别和验证,平均准确率达到90.83%。另外,通过实验分析了其他作用的影响距离。
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