DocumentCode
3049497
Title
A self-controlled robot for upper limb rehabilitation
Author
Li, Chunguang ; Inoue, Yoshio ; Liu, Tao ; Shibata, Kyoko ; Oka, Koichi
Author_Institution
Dept. of Intell. Mech. Syst. Eng., Kochi Univ. of Technol., Kami, Japan
fYear
2010
fDate
20-23 June 2010
Firstpage
114
Lastpage
119
Abstract
The number of hemiplegic patients with a unilateral-disabled limb has been increasing globally, this stimulate the development of rehabilitation robots that assist patients in motor function recovery and strength enhancement. However, as yet, few robots have achieved self-controlled rehabilitation training, and force feedback is generally realized with force sensors. This paper introduces a self-controlled master-slave system implementing force sensing without any force sensor for training patients with limited upper extremity function. The system contains two identical motors that have a directly wired connection. One limb controls the master motor to generate electrical energy, which is recycled to power the slave motor. The slave motor in turn works in electromotive state and supports the other limb to mirror the movement of the contralateral limb. Thus, self-controlled rehabilitation training is realized. An experimental prototype has been developed and the test results confirm that the system can achieve force sensing without a force sensor and realize motion tracking with a kind of energy recycling. Overall, the system has great potential for self-controlled rehabilitation training in the home environment.
Keywords
force sensors; medical robotics; motion control; patient rehabilitation; state feedback; electromotive state; force feedback; force sensors; hemiplegic patients; limb rehabilitation; master slave system; motor function recovery; robot rehabilitation development; self controlled robot; slave motor; strength enhancement; unilateral disabled limb; Extremities; Force feedback; Force sensors; Master-slave; Mirrors; Power generation; Prototypes; Rehabilitation robotics; Robot sensing systems; System testing; Energy recycling; Force sensing; Self-controlled training;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-5701-4
Type
conf
DOI
10.1109/ICINFA.2010.5512343
Filename
5512343
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