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A mimu-based pedestrian fall detection method and device

A detection method and technology of a detection device are applied in the directions of diagnostic recording/measurement, medical science, diagnosis, etc., and can solve the problems of inaccurate judgment of falls and so on.

Active Publication Date: 2021-07-16
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a MIMU-based pedestrian fall detection method and device for solving the problem of inaccurate fall judgment in existing detection methods

Method used

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  • A mimu-based pedestrian fall detection method and device
  • A mimu-based pedestrian fall detection method and device
  • A mimu-based pedestrian fall detection method and device

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Embodiment Construction

[0048] 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.

[0049] Method example:

[0050] The installation position of MIMU on the right foot shoe of the present invention method is as follows: figure 1 As shown, the pedestrian fall detection footwear includes a vamp 1, a heel 3 and a sole, and a micro inertial measurement unit 2 is installed on the heel (the micro inertial measurement unit 2 is hereinafter replaced by MIMU). Fix the MIMU firmly in the heel of the right shoe, and the x-axis is parallel to the sole and points to the head of the shoe, the z-axis is perpendicular to the sole and points upward, and the y-axis points to the right-hand rule. figure 1 , the angle of rotation around the x-axis is the roll angle, denoted by θ, and the angle of rotation around the y-axis is the corrected pitch ang...

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Abstract

The present invention relates to a pedestrian fall detection method and device based on MIMU, which calculates the corrected pitch angle and roll angle in the coordinate system by collecting the accelerations of coordinate axes in three directions in the coordinate system; Acceleration, corrected pitch angle and roll angle are calculated, combined with the experience threshold to judge whether a fall occurs, if a fall occurs, combined with the acceleration of the x-axis of the three-dimensional coordinate system, the angular velocity around the y-axis, the corrected pitch angle or roll angle to determine the direction of the fall; Or the acceleration of the y-axis, the angular velocity around the x-axis, correct the pitch angle or roll angle to determine the direction of the fall; the angular velocity is the measured value of the gyroscope around the axis. The problem of inaccurate fall judgment in the existing detection method is solved.

Description

technical field [0001] The invention belongs to the technical field of pedestrian fall detection, and in particular relates to an MIMU-based pedestrian fall detection method and device. Background technique [0002] Micro Inertial Measurement Unit (MIMU) is a micro-electromechanical system, including micro-gyroscopes, micro-accelerometers, application-specific integrated circuits (ASICs), embedded microcomputers and corresponding navigation software; Features. [0003] Nowadays, accidental falls pose a serious threat to human health and even life, especially for soldiers, firefighters and counter-terrorism personnel who are performing tasks. If the fall can be detected in time and the direction of the fall can be correctly judged, then It is possible to make a preliminary judgment on the injury, to treat it quickly, and to save its life to the greatest extent. [0004] At present, there are mainly three automatic detection methods for people's falls. One is to use surveill...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/11
CPCA61B5/1117A61B5/1126A61B5/6807A61B5/72
Inventor 张伦东贾铮洋吕志伟李军正王安成李万里潘林何劢航
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU