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 reso

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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

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0069] Example one

[0070] Embodiments of the present invention provide an acceleration based analyte event detection method. Define the Identification of HS, TO: In the AP acceleration signal, the associated maximum peak is time to the HS event, and the local minimal peaks within a small neighborhood after the HS event occurred at the time.

[0071] There are many local maximum values ​​and local minimum in the AP acceleration signal, such as figure 2 As shown, HS and TO are not easily judged. The acceleration of the three directions of the AP, VT, ML is obtained by using a three-axis accelerometer. image 3 As shown, the acceleration signal is smoothed, and after eliminating local interference, the peak detection and the zero point detection positioning the HS, the TO event occurrence time. Specifically, this method, such as Figure 4 As shown, including the following steps:

[0072] S1, at time i acquire a three-axis acceleration energy signal E (I) and a three-axis acceleration...

Example Embodiment

[0099] Example 2

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

[0101] The signal acquisition and pre-processing module is used to obtain a three-axis acceleration energy signal and a three-axis acceleration signal, and filter smoothly with the three-axis acceleration energy signal and the three-axis acceleration signal; the three-axis acceleration includes front and rear speed, Vertical acceleration and lateral acceleration;

[0102] The screening module is used to detect peak detection and zero-point detection, and the point of the vertical acceleration signal after the screening process is partially larger and exceeded the peak threshold, and the point set ZC2 is formed.

[0103] The positioning module, any point ZCK in Point Set ZC2, search for the maximum value of the front and rear acceleration in the preset search window in the preset search window centered on point ZCK, the va...

Example Embodiment

[0104] Example three

[0105] Embodiments of the present invention encompasses an electronic device, including a memory, a processor; a computer software program is stored in memory; a processor reads and executes a computer software program stored in the memory to achieve an acceleration-based gait Event detection method, the method includes the following steps:

[0106] S1, acquire triaxial acceleration energy signal E (I) and three-axis acceleration signal, filter smooth processing on the triaxial acceleration energy signal and triaxial acceleration signal; the three-axis acceleration includes front and rear speed X (I) , Vertical acceleration Y (i) and side acceleration z (i);

[0107] S2, separately filter the vertical acceleration y (i) of the three-axis acceleration signal by two different σ-based Gaussian filters to filter Y σ4 (i) and Y σ5 (i);

[0108] S3, using peak detection and cross-zero detection, the point of local maximum and exceeding the peak threshold in the ve...

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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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