Algorithm for interference filtering of Wi-Fi gesture recognition

Nowadays with the continuous improvement of computer technology, human-computer interaction becomes more and more important in people’s life. Among them, gesture, as an intuitive human language, has become an important way of human-computer interaction. Meanwhile, an important branch of mobile network, WLAN has gradually developed into an irreplaceable technology in indoor communication. This paper is based on the relevant knowledge of the wireless channel state information (CSI), put forward under the environment of Wi-Fi, with the help of fertility carrier amplitude information provided by the CSI for fine-grained gesture recognition. Because of interference, a gesture recognition system based on Wi-Fi accuracy and robustness is used to ascend; therefore, this paper proposes a Wi-Fi gesture recognition interference filter algorithm using Butterworth lowpass filter and principal component analysis (PCA), combining the CSI of raw data denoising processing and filtering CSI noise in the raw data. On the basis of the recognition and machine learning, the results verify the robustness and accuracy of the algorithm. Copyright © 2024 Inderscience Enterprises Ltd.