Python-based gait cycle and three-dimensional limb motion angle algorithm

Abstract

The invention provides a Python-based gait cycle and three-dimensional limb motion angle algorithm. The algorithm comprises the following steps of: butting a three-dimensional motion capture system, and formatting original data according to body parts where vital joints are located and joint names; setting a rise threshold value according to gait cycle features, and determining all the gait cyclesin a database on the basis of an angular variation law of hip joint vertical plane; determining a step length time on the basis of a data recording frequency and start and end frames of the gait cycles, searching maximum values and minimum values of three-dimensional joints in each gait cycle by utilizing Python, and calculating a three-dimensional limb motion angle; and generating two data matrixes according to joint positions and respectively writing a gait and a limb motion index of each gait cycle. The algorithm is capable of rapidly and effectively processing a large number of real-timejoint angle data, is suitable for various three-dimensional motion capture systems, different loads of human body and different clothing equipment conditions, and is strong in generality, high in flexibility and good in expandability.

Description

technical field [0001] The invention relates to a three-dimensional body movement angle algorithm, in particular to a Python-based gait cycle and three-dimensional body movement angle algorithm. Background technique [0002] Angle of Limb Movement (ROM, Range of Motion) refers to the range of limb movement when the human body is exercising, and can be used to characterize the flexibility of the limbs. In three-dimensional motion analysis, the human body is generally divided into three sections, namely the coronal plane, the sagittal plane, and the horizontal plane. When the human body is in motion, each joint will undergo adduction / abduction, flexion / extension, internal rotation / external rotation, etc. in three sections. [0003] Goniometer is a common technical means to measure ROM, but it cannot monitor the movement of joints in three sections in real time. The appearance of the 3D motion capture device has realized the real-time acquisition of human joint data, and its ...

AI Technical Summary

Problems solved by technology

[0004] However, since the 3D motion capture instrument will record the changes of the angles of each joint in three dimensions in real time, the amount of data obtained during the monitoring process is huge. Therefore, it is necessary to rely on effective technical means to realize the extraction and analysis of joint angle data

There is no such effective technical means in the prior art

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