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Proceedings Paper

Brain-computer interface design using alpha wave
Author(s): Hai-bin Zhao; Hong Wang; Chong Liu; Chun-sheng Li
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Paper Abstract

A brain-computer interface (BCI) is a novel communication system that translates brain activity into commands for a computer or other electronic devices. BCI system based on non-invasive scalp electroencephalogram (EEG) has become a hot research area in recent years. BCI technology can help improve the quality of life and restore function for people with severe motor disabilities. In this study, we design a real-time asynchronous BCI system using Alpha wave. The basic theory of this BCI system is alpha wave-block phenomenon. Alpha wave is the most prominent wave in the whole realm of brain activity. This system includes data acquisition, feature selection and classification. The subject can use this system easily and freely choose anyone of four commands with only short-time training. The results of the experiment show that this BCI system has high classification accuracy, and has potential application for clinical engineering and is valuable for further research.

Paper Details

Date Published: 22 January 2010
PDF: 6 pages
Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 75000G (22 January 2010); doi: 10.1117/12.858115
Show Author Affiliations
Hai-bin Zhao, Northeastern Univ. (China)
Hong Wang, Northeastern Univ. (China)
Chong Liu, Northeastern Univ. (China)
Chun-sheng Li, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 7500:
ICMIT 2009: Mechatronics and Information Technology
Jeha Ryu; Kil To Chong; Ryojun Ikeura; Qingkai Han, Editor(s)

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