Abstract: A rehabilitation system that assists an action of a paretic arm due to brain damage, such as a stroke, includes: a detecting unit configured to detect an assist action that a healthy arm assists the paretic arm; an assist unit configured to cause the paretic arm to carry out bending and stretching actions; an adjustment unit configured to adjust an operation timing, operation speed, bending load or stretching load of the assist unit in response to detection of the assist action by the detecting unit; and a control unit configured to cause the assist unit to operate in accordance with the operation timing, operation speed, bending load or stretching load, adjusted by the adjustment unit.

Abstract: A rehabilitation system that assists an action of a paretic arm due to brain damage, such as a stroke, includes: a detecting unit configured to detect an assist action that a healthy arm assists the paretic arm; an assist unit configured to cause the paretic arm to carry out bending and stretching actions; an adjustment unit configured to adjust an operation timing, operation speed, bending load or stretching load of the assist unit in response to detection of the assist action by the detecting unit; and a control unit configured to cause the assist unit to operate in accordance with the operation timing, operation speed, bending load or stretching load, adjusted by the adjustment unit.

Abstract: A training apparatus includes: a controller. The controller is configured to: (a) while a subject is performing a behavior, acquire time-series myoelectric potentials of each of muscles of the subject; (b) calculate a muscle synergy matrix W, a control matrix C and an error matrix E from a myoelectric potential matrix M so that the relationship M=WC+E is satisfied, row vectors each expressing the acquired time-series myoelectric potentials of a corresponding one of the muscles, m being arranged in rows in the myoelectric potential matrix, n unit column vectors being arranged in columns in the muscle synergy matrix W, n row vectors being arranged in rows in the control matrix; (c) calculate a feature quantity indicating consistency among the unit column vectors included in the calculated muscle synergy matrix W; and (d) output the calculated feature quantity.