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Authors: Jianfeng Li ; Chunzhao Zhang and Qiang Cao

Affiliation: College of Mechanical Engineering and Applied ElectronicsTechnology, Beijing University of Technology, No.100 Pingleyuan, Beijing, China, China

Keyword(s): Detection system, Detection mechanism, Measurement system, Glenohumeral joint motion information.

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.

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Paper citation in several formats:
Li, J.; Zhang, C. and Cao, Q. (2020). Detection System Design of the Glenohumeral Joint Motion Information. In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE, ISBN 978-989-758-412-1; ISSN 2184-741X, pages 222-226. DOI: 10.5220/0008867702220226

@conference{icvmee20,
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 - ICVMEE,},
year={2020},
pages={222-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008867702220226},
isbn={978-989-758-412-1},
issn={2184-741X},
}

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,
TI - Detection System Design of the Glenohumeral Joint Motion Information
SN - 978-989-758-412-1
IS - 2184-741X
AU - Li, J.
AU - Zhang, C.
AU - Cao, Q.
PY - 2020
SP - 222
EP - 226
DO - 10.5220/0008867702220226