A Self-Paced Motor Imagery Based Brain-Computer Interface for Robotic Wheelchair Control

作者：Tsui Chun Sing Louis^*; Gan John Q; Hu Huosheng

来源：Clinical EEG and Neuroscience, 2011, 42(4): 225-229.

DOI：10.1177/155005941104200407

• Brain-Computer Interface
• Electroencephalography, Signals
• Online Practice
• Wheelchair Control, Robotic

This paper presents a simple self-paced motor imagery based brain-computer interface (BCI) to control a robotic wheelchair. An innovative control protocol is proposed to enable a 2-class self-paced BCI for wheelchair control, in which the user makes path planning and fully controls the wheelchair except for the automatic obstacle avoidance based on a laser range finder when necessary. In order for the users to train their motor imagery control online safely and easily, simulated robot navigation in a specially designed environment was developed. This allowed the users to practice motor imagery control with the core self-paced BCI system in a simulated scenario before controlling the wheelchair. The self-paced BCI can then be applied to control a real robotic wheelchair using a protocol similar to that controlling the simulated robot. Our emphasis is on allowing more potential users to use the BCI controlled wheelchair with minimal training; a simple 2-class self-paced system is adequate with the novel control protocol, resulting in a better transition from offline training to online control. Experimental results have demonstrated the usefulness of the online practice under the simulated scenario, and the effectiveness of the proposed self-paced BCI for robotic wheelchair control.

• 出版日期2011-10