Detection System Design of the Glenohumeral Joint Motion Information

Jianfeng Li, Chunzhao Zhang, Qiang Cao

2019

Abstract

Due to the complex coupled motion of shoulder mechanism, design the guiding movement rule of rehabilitation robot generally lack of the glenohumeral (GH) joint motion information. This study focused on development detection system design of the GH joint motion information. In this paper, the detection system incorporates the detection mechanism and measurement system. Design of the detection mechanism includes model of the shoulder complex, configuration as well as structure design of the detection mechanism. Design of the measurement system includes hardware selection and software development. Straight after, detection system was integrated. Then, test and analysis was presented. The results show the detection system can measure and present the GH joint motion information in real time. It provides a method to obtain the movement information of the GH joint, and has practical significance for shoulder function simulation and ergonomics.

Paper Citation

in Harvard Style

Li J., Zhang C. and Cao Q. (2019). Detection System Design of the Glenohumeral Joint Motion Information.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 222-226. DOI: 10.5220/0008867702220226

in Bibtex Style

@conference{icvmee19,
author={Jianfeng Li and Chunzhao Zhang and Qiang Cao},
title={Detection System Design of the Glenohumeral Joint Motion Information},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={222-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008867702220226},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Detection System Design of the Glenohumeral Joint Motion Information
SN - 978-989-758-412-1
AU - Li J.
AU - Zhang C.
AU - Cao Q.
PY - 2019
SP - 222
EP - 226
DO - 10.5220/0008867702220226