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Acceleration-based gait event detection method and device

A technology of event detection and acceleration, applied in the field of pattern recognition, can solve the problems of high price and harsh application conditions, and achieve the effect of improving utilization rate, improving accuracy, and reducing computing resource consumption

Active Publication Date: 2021-08-27
WUHAN QIWU TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems in the prior art, the present invention provides a method and device for detecting gait events based on acceleration, and performs gait detection by analyzing triaxial acceleration data. Event recognition improves the utilization of hardware resources, reduces the number of sensors, improves the accuracy of gait event detection, reduces computing resource consumption, and solves the problem of expensive equipment, harsh application conditions, and demanding Bottleneck issues such as the high degree of cooperation of the testee

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  • Acceleration-based gait event detection method and device
  • Acceleration-based gait event detection method and device
  • Acceleration-based gait event detection method and device

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Embodiment 1

[0070] An embodiment of the present invention provides an acceleration-based gait event detection method. Define the identification criteria of HS and TO: In the AP acceleration signal, the maximum correlation peak is the time when the HS event occurs, and the local minimum peak in a small neighborhood after the HS event is the time when the TO event occurs.

[0071] However, there are many local maxima and local minima in the AP acceleration signal, such as figure 2 As shown, it is not easy to directly judge HS and TO. Use the three-axis accelerometer to obtain the acceleration in the three directions of AP, VT, and ML, such as image 3 As shown, the acceleration signal is filtered and smoothed, and the local interference is eliminated, and the peak detection and zero-crossing detection are used to locate the HS and TO events. Specifically, the method, such as Figure 4 shown, including the following steps:

[0072] S1. Obtain a triaxial acceleration energy signal e(i) a...

Embodiment 2

[0100] Embodiments of the present invention provide an acceleration-based gait event detection device, such as Figure 5 shown, including:

[0101] The signal acquisition and preprocessing module is used to obtain a triaxial acceleration energy signal and a triaxial acceleration signal, and perform filtering and smoothing processing on the triaxial acceleration energy signal and the triaxial acceleration signal; the triaxial acceleration includes forward and backward acceleration, vertical and lateral acceleration;

[0102] The screening module adopts peak detection and zero-crossing detection to screen the points in the processed vertical acceleration signal that are locally maximum and exceed the peak threshold to form a point set ZC2;

[0103] The positioning module, for any point ZCk in the point set ZC2, searches for the maximum value of the forward and backward acceleration within the preset search window centered on the abscissa of the point ZCk, then the moment corres...

Embodiment 3

[0105] An embodiment of the present invention provides an electronic device, including a memory and a processor; a computer software program is stored in the memory; the processor reads and executes the computer software program stored in the memory to realize a gait based on acceleration Event detection method, said method comprising the following steps:

[0106] S1. Obtain a triaxial acceleration energy signal e(i) and a triaxial acceleration signal, and filter and smooth the triaxial acceleration energy signal and triaxial acceleration signal; the triaxial acceleration includes forward and backward acceleration x(i) , vertical acceleration y(i) and lateral acceleration z(i);

[0107] S2, use two different σ Gaussian filters to filter the vertical acceleration y(i) in the three-axis acceleration signal to obtain the signal y σ4 (i) and y σ5 (i);

[0108] S3, using peak detection and zero-crossing detection, screening the processed vertical acceleration signal for the loca...

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Abstract

The invention provides an acceleration-based gait event detection method and device. The method comprises the following steps: firstly obtaining a three-axis acceleration energy signal and a three-axis acceleration signal, and carrying out the filtering and smoothing of the three-axis acceleration energy signal and the three-axis acceleration signal; then, adopting peak detection and zero crossing point detection to screen points which are locally maximum and exceed a peak threshold value in the processed vertical acceleration signals, and forming a point set ZC2; and finally, aiming at any point ZCk in the point set ZC2, searching the maximum value of forward and backward acceleration in a preset search window range taking the abscissa of the point ZCk as the center, and taking the moment corresponding to the maximum value to be the heel landing moment, wherein the moment corresponding to the nearest neighbor trough on the right of the maximum value is the toe off-ground moment. The gait event recognition is carried out only by analyzing the three-axis acceleration data, so that the utilization rate of hardware resources is improved, the number of sensors is reduced, the accuracy of gait event detection is improved, and the consumption of computing resources is reduced.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to an acceleration-based gait event detection method and device. Background technique [0002] Gait refers to the movement posture shown when walking, which is a continuous periodic movement. Affected by factors such as exercise habits, disabilities, and diseases, different people generally have different gait patterns from each other. The research and application of gait patterns are divided into two directions: gait recognition and gait analysis. Gait recognition is the use of gait patterns by researchers in the field of pattern recognition to identify pedestrians; gait analysis is the use of gait patterns for disease diagnosis by researchers in the medical field. Both applications are based on the detection of gait cycle events, so the automatic detection of gait cycle events is a fundamental problem for artificial intelligence applications such as gait recognition ...

Claims

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Application Information

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IPC IPC(8): A61B5/11
CPCA61B5/112A61B5/6823A61B5/6801A61B5/725A61B5/7282A61B2562/0219
Inventor 陈昆杨小清耿玉银
Owner WUHAN QIWU TECH CO LTD
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