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

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.