Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Analysis of Human-Machine Cooperative Robot and haptic interaction for stroke rehabilitation

Authors
Zhiqin Qian, Tingting Jiang, Yifan Liu, Zhuming Bi
Corresponding Author
Zhiqin Qian
Available Online May 2017.
DOI
10.2991/msmee-17.2017.125How to use a DOI?
Keywords
Human-machine cooperative robot, haptic interface, stroke treatment
Abstract

Many kinds of actuator-based haptic robots have been developed and utilized in rehabilitation to improve and strengthen stroke patient's motor capability. Now a new concept of HMCR (human-Machine Cooperative Robot) is proposed in this article, which works with the joint efforts of human user and the machine or neither respectively. However, these systems seem to be not qualitative currently. Therefore, this paper presents a quantitative analysis on the statics of the haptic robot system.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
10.2991/msmee-17.2017.125
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.125How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhiqin Qian
AU  - Tingting Jiang
AU  - Yifan Liu
AU  - Zhuming Bi
PY  - 2017/05
DA  - 2017/05
TI  - Analysis of Human-Machine Cooperative Robot and haptic interaction for stroke rehabilitation
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 643
EP  - 648
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.125
DO  - 10.2991/msmee-17.2017.125
ID  - Qian2017/05
ER  -