Application of Channel State Information in Action Recognition and Outlier Analysis

doi:10.3969/j.issn.1671-1122.2017.02.010

Abstract

Abstract:

With the deepening of WiFi signal research, it is found that the collection of channel state information is the basis of using WiFi to detect human action. In this paper, the definition and expression of the channel state information are given. Then, the channel state information is compared with the traditional signal strength indicator. It is found that the channel state information is more suitable for fine-grained action recognition. The paper describes working mechanism of the channel state information to be obtainedwith the common commercial WiFi transceiver and analyzes the meaning of the various parameters contained in the channel state information packet.The paper also states the method of using the channel state information in the time domain. Through mathematical modeling, the channel state information is effectively utilized and the accuracy of recognition of human motion is improved. According to the outlier problem in the experiment, the paper analyzes the cause of the outlier, gives an algorithm to identify and eliminate the outlier.

Key words: action recognition, channel state information, WiFi

CLC Number:

TP309

Yihong ZHU, Jiacheng LI. Application of Channel State Information in Action Recognition and Outlier Analysis[J]. Netinfo Security, 2017, 17(2): 66-72.

Figures/Tables 16

References 11

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