A kind of on-off control method based on EEG dimension complexity detection

Hong Wang; Chunsheng Li; Haibin Zhao; Chong Liu

doi:10.1117/12.858434

22 January 2010 A kind of on-off control method based on EEG dimension complexity detection

Hong Wang, Chunsheng Li, Haibin Zhao, Chong Liu

Author Affiliations +

Proceedings Volume 7500, ICMIT 2009: Mechatronics and Information Technology; 75000O (2010) https://doi.org/10.1117/12.858434
Event: ICMIT 2009: Mechatronics and Information Technology, 2009, Gwangju, Korea, Republic of

Abstract

Some studies show that Environment Control System (ECS) improves severe disabled people life, one of which is based on analyzing alpha wave following eye closure. This paper proposes a method for detecting the difference of dimension complexity between eye opening and eye closure. By modifying Grassberger and Procaccia algorithm for calculating correlation dimension, this improved method can process overlapped data segment effectively. The value, calculated by this method, is called EEG dimension complexity, which indicates the variability of brain function. Experiments show that EEG dimension complexity is suitable and precise to distinguish two states between eye opening and closure. New method decreases computational cost, and its application shows that this method can be used to control light switch on and off.

Citation Download Citation

Hong Wang, Chunsheng Li, Haibin Zhao, and Chong Liu "A kind of on-off control method based on EEG dimension complexity detection", Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 75000O (22 January 2010); https://doi.org/10.1117/12.858434

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