Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Recently, many researches on Brain Computer Interface (BCI), which records brain activities and applies them for controlling of a wheelchair, typing and so on, have been reported. The authors have proposed a thought recognition method using Electroencephalogram(EEG) which can be measured noninvasively, therefore places low burdens on subjects. The accuracy of the proposed method, however, has not reached adequate level for practical use. To solve this problem, the authors have proposed a method in which EEG is fed back to the subjects. This method helps subjects aware of the thoughts they are thinking and generate recognizable EEG. The authors think that alpha rhythm, which is one of the EEG features derived from the parieto-occipital cortex and is considered to be useless for BCIs because it is influenced by visual stimuli, can be useful for a BCI based on the proposed method which doesn't employ visual feedback but auditory one. An experiment, in this paper, showed that some subjects had got skills to control their alpha rhythms through auditory feedback training with their eyes closed.
