A practical VEP-based brain-computer interface.
This paper introduces the development of a practical brain-computer interface at Tsinghua University. The system uses frequency-coded steady-state visual evoked potentials to determine the gaze direction of the user. To ensure more universal applicability of the system, approaches for reducing user variation on system performance have been proposed. The information transfer rate (ITR) has been evaluated both in the laboratory and at the Rehabilitation Center of China, respectively. The system has been proved to be applicable to > 90% of people with a high ITR in living environments.
Wang
Yijun
Y
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China. wyj97@mails.tsinghua.edu.cn
Wang
Ruiping
R
Gao
Xiaorong
X
Hong
Bo
B
Gao
Shangkai
S
D000328:Adult; D001185:Artificial Intelligence; D003143:Communication Devices for People with Disabilities; D004569:Electroencephalography / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D005260:Female; D006801:Humans; D007092:Imagination / Q000502:physiology; D008297:Male; D009468:Neuromuscular Diseases / Q000503:physiopathology / Q000534:rehabilitation*; D010363:Pattern Recognition, Automated / Q000379:methods; D013813:Therapy, Computer-Assisted / Q000379:methods*; D014584:User-Computer Interface; D014793:Visual Cortex / Q000502:physiology*