Title :
Motor imagery BCI-based robot arm system
Author :
Cong Wang ; Bin Xia ; Jie Li ; Wenlu Yang ; Dianyun Xiao ; Velez, Alejandro Cardona ; Hong Yang
Author_Institution :
Dept. of Electron. Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
This paper illustrates a motor imagery BCI-based robotic arm system. To control a robot arm with multiple freedoms, BCI system should provide multi-commands. We build a novel MI-based BCI protocol, which applies three mode of MI to output eight commands. A control strategy is used to simplify the movement control of robot arm. The validity of this system is verified by experiments in real and virtual environment.
Keywords :
brain-computer interfaces; control engineering computing; manipulators; motion control; protocols; virtual reality; BCI system; MI-based BCI protocol; control strategy; motor imagery BCI-based robot arm system; movement control; multicommands; multiple freedoms; real environment; robot arm control; virtual environment; Accuracy; Brain computer interfaces; Brain modeling; Joints; Protocols; Robots; Training; Brain- Computer Interface; Motor Imagery; robotic arm;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6021923
