A practical VEP-based brain-computer interface

Author

Yijun Wang ; Ruiping Wang ; Xiaorong Gao ; Bo Hong ; Shangkai Gao

Author_Institution

Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China

Volume

14

Issue

2

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

234

Lastpage

240

Abstract

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.

Keywords

brain; handicapped aids; medical signal processing; visual evoked potentials; frequency-coded steady-state visual evoked potentials; gaze direction; information transfer rate; practical VEP-based brain-computer interface; Control systems; Cranial; Electroencephalography; Frequency synchronization; Laboratories; Muscles; Rhythm; Scalp; Steady-state; System performance; Brain–computer interface (BCI); information transfer rate (ITR); steady-state visual evoked potential (SSVEP); Adult; Artificial Intelligence; Communication Aids for Disabled; Electroencephalography; Evoked Potentials, Visual; Female; Humans; Imagination; Male; Neuromuscular Diseases; Pattern Recognition, Automated; Therapy, Computer-Assisted; User-Computer Interface; Visual Cortex;

fLanguage

English

Journal_Title

Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1534-4320

Type

jour

DOI

10.1109/TNSRE.2006.875576

Filename

1642777