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
Link To Document :
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