An occupational therapy supporting device of the present disclosure comprises: an input data reception unit; an estimation unit; and an estimated data output unit. The input data reception unit receives input of input data including sleep data of a target person of occupational therapy evaluation and basic data of the target person. The estimation unit inputs the received input data into learned artificial intelligence to thereby make the artificial intelligence estimate daily life action data of the target person and physical function data of the target person. The estimation data output unit outputs the data estimated by the artificial intelligence. The sleep data includes the number of times of roll-over, the number of times of body motion, the number of times of visiting a bathroom, and a bathroom time. The basic data includes age, height, weight, and medical history. The daily life action data includes eating, going to a bathroom, evacuating, transferring to a bathroom, moving and walking, understanding, solving a problem, and storing. The physical function data includes grasping power. This configuration provides data useful for execution of the occupational therapy that is independent from an evaluator and objective.
OCCUPATIONAL THERAPY SUPPORTING DEVICE, ARTIFICIAL INTELLIGENCE LEARNING DEVICE FOR OCCUPATIONAL THERAPY SUPPORTING DEVICE, AND USE METHOD OF OCCUPATIONAL THERAPY SUPPORTING DEVICE