Abstract
For practical use of Brain-Computer Interface (BCI), it is safe and suitable that electroencephalography (EEG), which is noninvasively without inserting an electrode in an encephalon. In previous study, a specific change in the feature of EEG signal accompanying cognitive phenomenon has been selected as the target and the BCI system has been designed to detect the specific change. However, EEG is far from stable and hardly reproducible even among recorded wave from an individual. In addition, same cognitive task induces not always same effect on EEG signal in everybody. In this study, we abolished that premise assumptionabout the target feature of EEG. Instead of that, we have developed a BCI system with EEG feature search unit and designed the system to detect the most obvious change accompanying the cognitive phenomenon. This method enables us to select the most suitable EEG signal to control devices. This BCI system succeeded in automatic exploring for every EEG recording sites and every frequency bands of the EEG signal and it finds for a specific site and a frequency band with remarkable changes of EEG signal, accompanying cognitive task.
