Abstract
Recently, a lot of researches on Brain-Computer Interfaces (BCIs) have been reported. It is expected that BCIs will help patients like those with Amyotrophic Lateral Sclerosis (ALS) to control a wheel chair or to communicate with other people just by using thoughts. BCIs analyze biological signals such as Electroencephalogram (EEG) to recognize thoughts, and especially those associated with motor imagery have been well investigated. The Bereitschschafts Potential (BP) is one of the features of EEGs related to body movements, which occurs before voluntary limb movements. The BPs associated with different movements have different temporal patterns. This paper proposes a method to capture the difference of the BP patterns. In this paper, the proposed method is applied to EEGs of motor imagery used in BCI Competition III and the effectivenesss of the proposed method is shown.
