Control of a Wheelchair by Motor Imagery in Real Time

Authors:
Kyuwan Choi;Andrzej Cichocki
Affiliations:
BSI-TOYOTA Collaboration Center, RIKEN,;BSI-TOYOTA Collaboration Center, RIKEN,
Venue:
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Year:
2008

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Abstract

This paper gives an outline of a non-invasive brain machine interface (BMI) implemented for controlling a motorized wheelchair online. Subjects were trained by using an effective feedback training method, and they could then control the wheelchair freely, similar to controlling it with a joystick.