title: A fuzzy-based shared controller for brain-actuated simulated robotic system.
abstract: The primary problems of brain-computer interface (BCI) are the low channel capacity and high error rate. Therefore, an assistive motion control method is important for the brain-actuated robot to realize real-time and reliable control. To make the brain-actuated robot respond to the external environments with more flexibility, a shared control method based on fuzzy logic is proposed. Experimental results obtained with ten healthy voluntary subjects show that the proposed fuzzy-based shared controller has improved performance compared with direct control approach.
authors.affiliation: Key Laboratory of Robotics and System, HIT and the Biomedical Engineering Department, Dalian University of Technology, Dalian, Liaoning 116024, PRC. rliu@dlut.edu.cn
authors.forename: Rong
authors.initials: R
authors.lastname: Liu
authors.forename: Kuang-Zheng
authors.initials: KZ
authors.lastname: Xue
authors.forename: Yong-Xuan
authors.initials: YX
authors.lastname: Wang
authors.forename: Le
authors.initials: L
authors.lastname: Yang
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D008297:Male; D012371:Robotics / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface