Gait detection algorithm, device and system

A detection algorithm and detection device technology, applied in the computer field, can solve the problem that the accuracy of step counting is not enough to meet the sub-meter accuracy requirements of indoor positioning

Active Publication Date: 2020-07-03
SHANDONG JIANZHU UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiment of the present invention is to provide a gait detection algorithm, aiming to solve the technical problem that the existing gait detection algorithm still has a step counting accuracy that is not enough to meet the sub-meter accuracy requirements of indoor positioning

Method used

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  • Gait detection algorithm, device and system
  • Gait detection algorithm, device and system
  • Gait detection algorithm, device and system

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] In order to facilitate the understanding of the gait detection of the present invention, as figure 1 As shown, it shows the change of the combined acceleration modulus in a conventional complete walking cycle, specifically including the seven states of "stable (initial)-climbing-peak-downhill-trough-secondary climbing-stable (end)" , respectively with S 0 ~S 6 Expressed as follows:

[0030] Stationary (initial) state S 0 : The soles of the feet coincide with the ground, and the resultant acceleration modulus is about the gravitational acceleration modulus;

[0031] Climbing state S 1 :...

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Abstract

The invention is applicable to the technical field of computers, and relates to a gait detection algorithm, device and system. The gait detection algorithm comprises the following steps: resetting a climbing number and a downhill number to 0 until a resultant acceleration module value is larger than a preset threshold value; updating the climbing number and the downhill number until the climbing number is larger than a preset threshold value, wherein the resultant acceleration module value is at a peak value; resetting the downhill number to 0, and updating the downhill number until the downhill number is larger than a preset threshold value, wherein the resultant acceleration module value is at a valley value; and resetting the uphill number to 0, and updating the uphill number until theuphill number is larger than the preset threshold value, wherein the resultant acceleration module value meets a preset requirement, and the step number is increased by 1. According to the gait detection algorithm disclosed by the invention, the difference value between the resultant acceleration module value and the resultant acceleration module value at the adjacent time are compared with a plurality of preset threshold values, and each state in a walking period is determined, so that a complete walking period is obtained, step counting is realized, and the gait detection algorithm is more accurate than a conventional step counting algorithm.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a gait detection algorithm, device and system. Background technique [0002] Indoor positioning has flourished for 20 years and has become a research hotspot in the field of location-based services. However, due to factors such as indoor complex and singular structures and dynamic and changeable environments, it is difficult for a single indoor positioning technology to provide users with universal, low-cost, high-precision, and continuous positioning results. Therefore, the indoor multi-source hybrid positioning technology integrated with the inertial measurement unit is widely used, and the current indoor multi-source hybrid positioning technology usually uses the pedestrian dead reckoning method. [0003] Pedestrian dead reckoning method consists of three parts: gait detection, step length estimation and heading estimation. According to the periodic changes of p...

Claims

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Application Information

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IPC IPC(8): A61B5/11G01C9/00G01C21/16G01C22/00
CPCA61B5/112A61B5/1113G01C21/16G01C22/006G01C9/00
Inventor 毕京学姚国标宁一鹏王琦桑文刚郭秋英
Owner SHANDONG JIANZHU UNIV
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