Extraction method of kinesiology parameters

Abstract

The invention discloses an extraction method of kinematics parameters based on head-top-point three-dimensional motion trails. The extraction method includes calibrating internal parameters and lens distortion coefficients of multi-view cameras, calibrating space position relationship among the multi-view cameras, positioning an initial position of the head-top-point of a human body, obtaining the three-dimensional motion trails of the head-top-point of the human body in a three-dimensional space by tracking the motion trails of the head-top-point in a human body motion image according to the mapping relation between a three-dimensional world coordinate system and a two-dimensional image coordinate system in a multi-view system, carrying out standard preprocessing on the three-dimensional motion trails of the head-top-point of the human body to obtain height waving information and swinging motion information in motion of the human body, and extracting the kinematics parameters from the height waving information and the swinging motion information. The extraction method is beneficial for barrier diagnosis of pathology gaits, formulation of a rehabilitation treatment scheme and therapeutic effect evaluation in clinical rehabilitation medicine.

Description

technical field [0001] The invention belongs to the field of multi-camera visual measurement in information technology, and in particular relates to a method for extracting human kinematic parameters. Background technique [0002] At present, in order to capture human motion and obtain 3D gait information, there are 3D gait analysis methods based on marker point or no marker point motion capture technology. Non-contact markerless human motion capture technology is considered to be the most promising and effective method for quantitative analysis of 3D gait, but it still faces many challenges and is still far from practical application. The specific analysis is as follows: [0003] (1) The 3D gait analysis method based on marker point motion capture technology needs to mark marker points on the human body, then obtain the 3D position of the marker points, and finally obtain the motion posture information of the human body. Generally speaking, the 3D gait analysis system base...

AI Technical Summary

Problems solved by technology

Although this method has been studied in depth, it still faces huge challenges, such as the computational complexity brought by high-dimensional human motion state parameters, human body occlusion and self-occlusion, and the determination of parameters of the initial frame human body.

Therefore, this method cannot be effectively applied to medical 3D gait analysis in a short period of time.

[0005] At present, most of the gait analysis systems used by domestic medical institutions are 3D gait analysis systems based on marker point motion capture technology, which are expensive, complicated to operate, and cannot be widely used; at the same time, some medical institutions are still using 2D gait analysis systems , which have greatly hindered the development of the field of human kinesiology measurement

Images