Abstract
Home robot is highly expected to help our everyday life for the coming aged society. In order to realize the success applications of home robots, it is of most important to develop effective human-robot interface, which can not only transform what human asked via speech as well as body motions but also catch what human wanted by measuring the brain's biological activities directly.
In this research, we propose to apply NIRS (Near-Infrared Spectroscopy), a new type of brain measurement setup that can measure the brain activities during the subject's free body motions, as an interface to control the motion of a human-interactive robot RI-MAN.
In detail, we first studied the time response from the brain activities in primary motor
areas to the reaction as seen from NIRS. We then developed a BRI interface for the robot RI-MAN,
in which we considered the 7 basic locomotion patterns of the robot including STOPPING and
classified the brain measurements so as to control robot's motion directly.
