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A BCI-based environmental controller for the motion-disabled

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4 Author(s)
Xiaorong Gao ; Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China ; Dingfeng Xu ; Ming Cheng ; Shangkai Gao

With the development of brain-computer interface (BCI) technology, researchers are now attempting to put current BCI techniques into practical application. This paper presents an environmental controller using a BCI technique based on steady-state visual evoked potential. The system is composed of a stimulator, a digital signal processor, and a trainable infrared remote-controller. The attractive features of this system include noninvasive signal recording, little training requirement, and a high information transfer rate. Our test results have shown that this system can distinguish at least 48 targets and provide a transfer rate up to 68 b/min. The system has been applied to the control of an electric apparatus successfully.

Published in:

IEEE Transactions on Neural Systems and Rehabilitation Engineering  (Volume:11 ,  Issue: 2 )