关键词: WiFi, 信道状态信息（CSI）, 手势识别, 无源感知, 菲涅尔衍射理论

Abstract:

In view of the fact that the gesture motion is small, it is difficult to be perceived by WiFi. The Fresnel diffraction theory is used to reason the optimal motion capture position to enhance the perception. Aiming at the problem of judging when the gesture occurs in the actual application process, a gesture localization algorithm based on Gaussian Distribution-Kmeans（GD-Kmeans） clustering is proposed. After collecting the Channel State Information（CSI） data containing the gesture, the data are denoised by low-pass filter and Discrete Wavelet Transform（DWT） filter, and the gesture is positioned and cut by the localization algorithm, and finally the template matching is implemented based on the Dynamic Time Warping（DTW） to recognition the five gestures. The accuracy rate reached 93%.

Key words: WiFi, Channel State Information（CSI）, gesture recognition, passive sensing, Fresnel diffraction theory