A Human Action Counting and Recognition Method Based on CSI

doi:10.13190/j.jbupt.2020-040

Journal of Beijing University of Posts and Telecommunications ›› 2020, Vol. 43 ›› Issue (5): 105-111.doi: 10.13190/j.jbupt.2020-040

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A Human Action Counting and Recognition Method Based on CSI

LIU Xi-wen, CHEN Hai-ming

School of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315000, China

Received:2020-03-31 Published:2021-03-11

Abstract

Abstract: Nowadays WiFi channel state information is widely applied in passive(unobtrusive)human continuous activity recognition. The article uses commercial off-the-shelf devices and proposes a human action counting and recognition (Wi-ACR) method, based on channel state information(CSI). Wi-ACR takes advantage of the threshold algorithm and action indicator to detect the start and end time of a set of continuous actions,and then counts the number of actions through the peak-find algorithm and determines the start and end time of each action. After that,Wi-ACR takes the waveform-feature-based action recognition model and the statistical-feature-based action recognition model to obtain action recognition results respectively. Experiments show that Wi-ACR can achieve action counting accuracy of 95% and recognition accuracy of 90% with these two recognition models,in the scenarios with two types of actions(i.e. squat and walk)occurring simultaneously.

Key words: action counting, action recognition, channel state information

CLC Number:

TP391.4

LIU Xi-wen, CHEN Hai-ming. A Human Action Counting and Recognition Method Based on CSI[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(5): 105-111.

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A Human Action Counting and Recognition Method Based on CSI

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