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User identification method based on action sequence detection in indoor wifi environment

A technology of user identification and action sequence, which is applied in the field of user identification based on action sequence detection, can solve the problems of poor accuracy and achieve the effects of improving data quality, high-accuracy identification, and reducing impact

Active Publication Date: 2020-02-14
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the poor accuracy of the existing WiFi signal-based user identity recognition method, the present invention provides a user identity recognition method based on action sequence detection in an indoor WiFi environment

Method used

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  • User identification method based on action sequence detection in indoor wifi environment
  • User identification method based on action sequence detection in indoor wifi environment
  • User identification method based on action sequence detection in indoor wifi environment

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Experimental program
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Embodiment Construction

[0019] refer to figure 1 . The specific steps of the user identity recognition method based on action sequence detection under the indoor WiFi environment of the present invention are as follows:

[0020] Step 1. In an indoor environment, using a laptop computer and a WiFi device, let the volunteer A participating in the experiment repeatedly squat, stand up, sit down, and stand up on a fixed position near the experimental equipment, and collect volunteer A channel state information data, and record the collected data. Similarly, the data of volunteers B, C, and D are collected.

[0021] Step 2, data preprocessing, select the Butterworth filter for denoising processing, and remove the noise existing in the data. According to the change frequency f of the CSI sequence caused by the human body movement is about 10-40 Hz and the sampling frequency Fs is 100 Hz, the cutoff frequency wc of the Butterworth filter is obtained.

[0022]

[0023] Step 3. Extract the action wavef...

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Abstract

The invention discloses a user identity recognition method based on action sequence detection in an indoor WiFi environment, which is used to solve the technical problem of poor accuracy of the existing WiFi signal-based user identity recognition method. The technical solution is to use commercial WiFi and notebook devices to achieve perception, preprocess the perceived data, improve data quality, extract features from the data, characterize user identities, construct a classification model, and call the classification model to perform a single action on the user. The probability distribution calculation of the identity is carried out, and the identity recognition is realized by making statistics on the probability distribution results of all identifiable actions in the action sequence; Judgment for one time, reduce the impact of complex environment on the recognition accuracy, and integrate the results of multiple judgments to achieve high-accuracy identification.

Description

technical field [0001] The invention relates to a user identity recognition method based on WiFi signals, in particular to a user identity recognition method based on action sequence detection in an indoor WiFi environment. Background technique [0002] The document "Patent Application No. 201610841511.5 Chinese Invention Patent" discloses a user identification method based on WiFi signals, including WiFi transmitters, signal receivers and terminal equipment. This method takes advantage of the influence of the user on the channel state information when passing through the WiFi device. After denoising the channel state information, the shape features of the line-of-sight waveform are extracted, and the approximate coefficients of the line-of-sight waveform are calculated by discrete wavelet transform. Classify the shape features of the line-of-sight waveform for user identification. The method described in the literature uses waveform matching to realize user identification....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/10G06F2218/12G06F18/24
Inventor 於志文夏卓越王柱辛通郭斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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