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Non-contact single step-counting method and system based on commercial Wi-Fi

A non-contact, single-player technology, applied in the field of computer networks, can solve the problems of difficulty in developing lightweight, high feature dependence, low universality, etc., to increase interest, high universality, Inexpensive effect

Inactive Publication Date: 2018-09-04
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Previous behavior recognition systems generally use cameras, wearable sensors and software radio devices to track motion information. Although these devices capture motion with high accuracy, they are expensive and have low universality
[0004] Other systems use machine learning methods to train CSI (Channel State Information) signals in commercial WiFi devices, and finally use models to identify relevant behaviors. However, the model is not only time-consuming to train, but also more dependent on features. Large, so it is difficult to develop a lightweight and robust user interface using training methods

Method used

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  • Non-contact single step-counting method and system based on commercial Wi-Fi
  • Non-contact single step-counting method and system based on commercial Wi-Fi
  • Non-contact single step-counting method and system based on commercial Wi-Fi

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A non-contact single-person step counting method based on commercial Wi-Fi, the method comprising:

[0048] 1) Participants perform repetitive movements according to the preset action requirements, and collect the participants' CSI signals through commercial Wi-Fi;

[0049] 2) Define d(t) as the sum of the average absolute deviations of all amplitude data in a time sliding window, calculate the noise level N(t) within the time period t according to d(t), and filter out the noise signal from the CSI signal ;

[0050] 3) Eliminate the static component of each subcarrier in the CSI signal through the Hampel filter, and use the Savitsky-Gray filter to further remove other noises;

[0051] 4) The dimensionality reduction algorithm of factor analysis is used to extract the single-person signal from the noise-reduced CSI signal;

[0052] 5) Perform time-frequency analysis, feature extraction, and peak detection on the single-person signal, where the peak detection is specifi...

Embodiment 2

[0055] The embodiment of the present invention proposes a non-contact single-person step counting method based on commercial Wi-Fi, see figure 1 , the method includes the following steps:

[0056] 1. Collecting CSI signals through commercial Wi-Fi

[0057] 1) Two commercial Wi-Fi devices are used as the transmitter and receiver respectively;

[0058] For example: a router, as a transmitter, continuously transmits wireless signals, and another device such as a laptop, as a receiver, continuously receives CSI signals.

[0059] During specific implementation, the embodiments of the present invention do not limit the models of the above-mentioned devices, as long as they can realize the above-mentioned functions.

[0060]2) At the beginning of the game, participants first need to stand upright, with their feet shoulder-width apart, and their arms drooping naturally on both sides of their bodies;

[0061] 3) Then bend one leg, raise the foot to the height of the knee, swing the ...

Embodiment 3

[0114] The functions and effects of Embodiments 1 and 2 of the present invention will be shown below in conjunction with the accompanying drawings.

[0115] This example uses CSI data processing as an example to give the implementation of the invention, and the specific steps are as follows:

[0116] Use a laptop as the WiFi access point, that is, the sending end, and another laptop as the receiving end. Both laptops are installed with Intel 5300NIC and Ubuntu 14.04LTS desktop system. There are 3 antennas on the receiving end and 3 antennas on the transmitting end. Antennas, the distance between the three antennas at each end is a wavelength (5.2cm), and they are located in a straight line. The transmitting end and receiving end of the WiFi are placed on the ground, and the distance between the two is 3m. The transmission rate of the data packet is 1024HZ. The transmitting end and the receiving end are in a straight line, and the transmission link works on the 165 channel with...

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Abstract

The invention discloses a non-contact single step-counting method and system based on commercial Wi-Fi. The method comprises the following steps: making a repeating motion by a participant according to preset action requirements, and acquiring a CSI (Channel State Information) signal of the participant by virtue of the commercial Wi-Fi; defining that d(t) is the sum of mean absolute deviations ofall amplitude data in a time sliding window, solving a noise level in a time period t according to the d(t), and screening out a noise signal from the CSI signal; eliminating a static element of eachsubcarrier in the CSI signal by virtue of a Hanpur filter, and removing other noise by using a Savitsky-Gray filter; extracting a single signal from the CSI signal subjected to noise reduction by adopting a dimensionality reduction algorithm for factor analysis; performing time-frequency analysis, feature extraction and peak detection on the single signal, wherein the peak detection specifically refers to detection on four constraint conditions such as corrugation pitch, crest height, crest convexity and crest width. The system comprises a microprocessor, a WiFi transmitting end and a WiFi receiving end.

Description

technical field [0001] The present invention relates to a computer network, in particular to the field of feature extraction and data mining, in particular to a non-contact single-person step counting method and system based on commercial Wi-Fi. Background technique [0002] With the development of wireless technology, wireless signals can not only be used to transmit data, but also can be used to sense the environment. In indoor environments, wireless signals generated by WiFi devices are directly irradiated, reflected and scattered on different objects around them, and finally reach the receiving device , so the wireless signal carries the information of the surrounding environment. [0003] By establishing the relationship between the waveform characteristics of the channel state information in the physical layer of the receiving device and the target task, indoor positioning, behavior recognition, security monitoring, medical monitoring, etc. can be performed. Previous ...

Claims

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Application Information

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IPC IPC(8): G01C22/00
CPCG01C22/006
Inventor 刘美光张蕾
Owner TIANJIN UNIV
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