Brain-computer interface design using alpha wave

Hai-bin Zhao; Hong Wang; Chong Liu; Chun-sheng Li

doi:10.1117/12.858115

22 January 2010 Brain-computer interface design using alpha wave

Hai-bin Zhao, Hong Wang, Chong Liu, Chun-sheng Li

Proceedings Volume 7500, ICMIT 2009: Mechatronics and Information Technology; 75000G (2010) https://doi.org/10.1117/12.858115
Event: ICMIT 2009: Mechatronics and Information Technology, 2009, Gwangju, Korea, Republic of

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.

Citation Download Citation

Hai-bin Zhao, Hong Wang, Chong Liu, and Chun-sheng Li "Brain-computer interface design using alpha wave", Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 75000G (22 January 2010); https://doi.org/10.1117/12.858115

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available