Abstract: A tendency discrimination device includes a discriminator to objectively discriminate a tendency of a person to be tested, based on brain information obtained by magnetic resonance imaging (MRI). In the generation of the discriminator, a gray matter volume and a diffusion anisotropy degree are calculated for a frontal pole of each of multiple test subjects as a region of interest, and machine learning is performed on the relationship of the information obtained by classifying results of a test for discriminating the tendencies of the multiple test subjects, to gray matter volumes and diffusion anisotropy degrees obtained by MRI for each of the multiple test subjects.

Abstract: A tendency discrimination device includes a discriminator to objectively discriminate a tendency of a person to be tested, based on brain information obtained by magnetic resonance imaging (MRI). In the generation of the discriminator, a gray matter volume and a diffusion anisotropy degree are calculated for a frontal pole of each of multiple test subjects as a region of interest, and machine learning is performed on the relationship of the information obtained by classifying results of a test for discriminating the tendencies of the multiple test subjects, to gray matter volumes and diffusion anisotropy degrees obtained by MRI for each of the multiple test subjects.

Abstract: A method for measuring an upper limb reaching capability of a user with an impaired limb is provided. Each upper limb is placed at a default position on a horizontal surface. A target is displayed from among a plurality of targets on the horizontal surface. One of the limbs reaches for the target. Limb choice, position information and elapsed time are sensed and recorded. The reaching limb is retracted to the default position. The displaying step through the retracting step are repeated for each of the plurality of targets, wherein each of the plurality of targets is spaced apart.

Abstract: A feedforward-movement training apparatus, which is capable of restoring functions of fast and accurate movements in a relaxed state by training feedforward-movements includes a movement working portion where a patient causes a body part to do, within a time limit, a feedforward-movement between a start point and an end point arranged in advance, a movement measuring portion for measuring the feedforward-movement of the patient, and a movement feedback portion for giving the result of the measurement made by the movement measuring portion to the patient. A feedforward-movement evaluation system objectively and easily evaluates the degree of skillfulness of the patient's feedforward-movements in the aforementioned feedforward-movement training apparatus and thus restores functions to execute fast and accurate movement in a relaxed state more effectively.