抄録
Recently, a Brain-Machine Interface system (BMI system), which measures human brain activities and utilizes them for input interface, is focused. If it is realized, it can be a new intuitive input interface and can be applied to human-robot communications, welfare-use, etc. In this paper, we propose a design method of a Brain-Machine Interface using NIRS (Near-InfraRed Spectroscopy). The proposed BMI system enables to classify several patterns of brain blood flow and experimental results illustrate the classification performance of the proposed system.
