Document Type
Article
Publication Date
1-1-2010
Abstract
This paper presents the development of a real-time brain computer interface (BCI) system based on the detection of steady-state visual evoked potential (SSVEP). The system includes a frequency-programmable visual stimulator, EEG-band amplifier and filter, 16-bit data acquisition card, and signal processing and classification algorithms. Three visual stimuli flickering at varying frequencies were shown to the subject, and the system is able to identify the desired target that the subject was focusing on. Experiments on ten healthy subjects using the designed system yielded an average detection accuracy of 86.15. © IEICE 2010.
Keywords
Brain computer interface (BCI), Electroencephalography (EEG), Steady-state visual evoked potential (SSVEP), Classification algorithm, Data acquisition cards, Detection accuracy, Healthy subjects, Steady-state visual evoked potentials, System-based, Visual stimulus, Electroencephalography, Electrophysiology, Interfaces (computer), Signal processing, Brain computer interface
Divisions
fac_eng
Publication Title
IEICE Electronics Express
Volume
7
Issue
5
Additional Information
594JY Times Cited:1 Cited References Count:5