Wi-Fi-based gait recognition method with independent paths

A gait recognition and path technology, applied in the field of computer networks, can solve the problems of limiting the application range of the gait recognition system and the decline of recognition accuracy, and achieve the effects of low price, cost saving and good versatility

Pending Publication Date: 2020-01-31
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current gait recognition systems all require subjects to walk along a given straight path. When subjects walk along different routes, the recognition accuracy of these systems will appear cliff-like due to differences in Wi-Fi signal measurements. fall
This shortcoming severely limits the scope of application of the gait recognition system

Method used

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  • Wi-Fi-based gait recognition method with independent paths
  • Wi-Fi-based gait recognition method with independent paths
  • Wi-Fi-based gait recognition method with independent paths

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] A path-independent gait recognition method based on commercial Wi-Fi, see figure 1 , the method includes the following steps:

[0085] The subject repeatedly walked the specified distance in the predetermined area, and collected the CSI signal of the subject through commercial Wi-Fi equipment;

[0086] Use the Butterworth bandpass filter to denoise all the amplitude data, and use the PCA dimensionality reduction algorithm to remove data redundancy and further reduce noise;

[0087] Using the data after PCA dimensionality reduction, motion detection is performed according to the different states of the PSD distribution of the CSI signal in the walking and stationary states;

[0088] The dimensionality-reduced signal is cut into a series of small slices using a sliding time window. Since the window time is short, the direction of motion in each window slice can be considered as invariant. At the same time, according to the Fresnel theory, the number of Fresnel zones pa...

Embodiment 2

[0095] The scheme in embodiment 1 is further introduced below in conjunction with specific examples and calculation formulas, see the following description for details:

[0096] 1. Using commercial Wi-Fi to collect CSI signals

[0097] Since the embodiment of the present invention is designed for a small application environment, the number of people that can be recognized is limited. Here, the number of 50 people that can make the recognition accuracy within an acceptable range is taken.

[0098] 1) One commercial Wi-Fi device acts as the transmitting end, and the other two commercial Wi-Fi devices act as the receiving end, forming two pairs of links. These two pairs of links are placed vertically to form a Cartesian coordinate system. The transmitting end is located at the coordinate system (5m, 5m), and the two receiving ends are located on the X-axis and Y-axis respectively, 5m away from the receiving end;

[0099] For example: a router, as a transmitter, continuously tran...

Embodiment 3

[0169] The functions and effects of the above-mentioned embodiments 1 and 2 are shown below in conjunction with the accompanying drawings.

[0170] This example uses CSI data processing as an example to give a specific implementation method, and the specific steps are as follows:

[0171] Use one laptop as the Wi-Fi access point, that is, the sender, and the other two laptops as the receiver. The three laptops are installed with Intel 5300 NIC and Ubuntu 14.04 LTS desktop system. The transmitter has 3 antennas, each There are 3 antennas at each receiving end, and the distance between the 3 antennas at each end is one wavelength (5.79cm), and they are located on a straight line. The transmitting end and the receiving end are placed on three small table boards, 40cm away from the ground. At the same time, the transmitting end and each receiving end form a pair of links. The two pairs of links are perpendicular to each other to form a plane rectangular coordinate system. The tran...

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Abstract

The invention relates to a computer network, in order to realize introduction of Wi-Fi receiving equipment, a method is provided for observing gait information in two dimensions, calculating the motion angle in each small period of time according to the motion angle, deriving gait information with independent paths for extracting gait feature. According to the path independent gait recognition method based on the commercial Wi-Fi, collection of physical layer channel state information (CSI) data, removal of CSI signal redundancy and denoising are completed on two receiving ends, and the gait recognition method based on the commercial Wi-Fi path independent gait recognition method based on the commercial Wi-Fi is used for extracting gait features and carrying out gait recognition, detectingthe start of motion according to the frequency spectrum density PSD distribution state; calculating the motion direction in the window; mapping the sub-spectrograms to the motion direction of the subject; and splicing the sub-spectrograms in all window slices to generate a complete spectrogram with independent paths, extracting features from the sub-spectrogram with independent paths, and carrying out gait recognition. The method is mainly applied to gait recognition occasions.

Description

technical field [0001] The invention relates to computer networks, in particular to the field of data mining, in particular to a path-independent gait recognition system based on commercial Wi-Fi. Background technique [0002] As a popular biometric technology for human identification, gait recognition uses the way of walking to identify individuals. Gait has prominent advantages over other forms of biometrics, such as faces, fingerprints, and irises, in the following ways: (1) Unique: Everyone seems to have a unique way of walking, providing unique cues for identification. (2) Unobtrusive: It requires no user intervention. Due to its wide demand in different fields, this technology has attracted a lot of attention in security monitoring, healthcare and human-computer interaction. There are various sensing technologies for gait recognition, ranging from wearable sensor-based, computer vision-based to environment perception-based methods. However, these techniques have the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04B17/30
CPCH04B17/30G06F2218/08G06F2218/12
Inventor 王聪张蕾王志锐
Owner TIANJIN UNIV
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