Research on the equivalent simulation experimental method of asymmetric motion

The objective is to overcome the challenging issue of collecting gait data from individuals with lower limb disabilities during the process of joint drive design for lower limb medical rehabilitation. In this paper, we propose a data acquisition method for an asymmetric motion equivalent simulation experiment. Firstly, an equivalent simulation gait experiment is conducted by modifying the centroid of a typical individual in order to facilitate the analysis of gait data. The acquisition of knee movement data from the human lower limb is then taken as the object of study. This is achieved through the utilisation of a 3D dynamic capture gait analysis method, which enables the visual analysis of the motion trajectory. Finally, Matlab software is used for secondary processing and analysis of knee joint data in order to verify the feasibility of the equivalent simulation experiment method and to provide theoretical support for the rational design of joint drive parameters for lower limb rehabilitation Aids.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/asim66270.2024.00007
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00

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Research on the equivalent simulation experimental method of asymmetric motion

Jiaxin Dong, Yuanyuan Yi, Liang Xuan, Yongkang Shen et al.
Simulation and Modeling Applications
article

Research on the equivalent simulation experimental method of asymmetric motion

Jiaxin Dong, Yuanyuan Yi, Liang Xuan, Yongkang Shen, Shuai Dong, Zhenfei Yuan
article en

Abstract

The objective is to overcome the challenging issue of collecting gait data from individuals with lower limb disabilities during the process of joint drive design for lower limb medical rehabilitation. In this paper, we propose a data acquisition method for an asymmetric motion equivalent simulation experiment. Firstly, an equivalent simulation gait experiment is conducted by modifying the centroid of a typical individual in order to facilitate the analysis of gait data. The acquisition of knee movement data from the human lower limb is then taken as the object of study. This is achieved through the utilisation of a 3D dynamic capture gait analysis method, which enables the visual analysis of the motion trajectory. Finally, Matlab software is used for secondary processing and analysis of knee joint data in order to verify the feasibility of the equivalent simulation experiment method and to provide theoretical support for the rational design of joint drive parameters for lower limb rehabilitation Aids.

Jianghan University (CN)
Jianghan University
Openalex Percentile: Top 63%
Simulation and Modeling Applications
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