Abstract: In a markerless foot size estimation device 100, a shape data input unit 10 acquires three-dimensional shape data of a foot of a subject and stores the three-dimensional shape data in a shape data storage unit 20. A characteristic extraction unit 30 extracts foot shape characteristics from the three-dimensional shape data of a subject's foot stored in the shape data storage unit 20, and stores the foot shape characteristics in a shape characteristic storage unit 40. A machine learning unit 50 uses, as teacher data, foot shape characteristics and arch height stored in the shape characteristic storage unit 40 to create, through machine learning, an estimation model used to estimate arch height based on foot shape characteristics, and stores the estimation model in an estimation model storage unit 60. An estimation output unit 70 uses the estimation model stored in the estimation model storage unit 60 to estimate arch height based on extracted shape characteristics and outputs the arch height.

Abstract: A measuring board having a simple structure is to be provided. A measuring board includes a main body having a foldable structure, and the main body includes a placement part on which a foot is placed and that includes a measurement marker, a wall part provided adjacent to the placement part and configured to position a heel during measurement, and supporting structures and that support the wall part. With such a configuration, a measuring board having a simple structure can be provided.

Abstract: A motion state evaluation system is provided with a motion analyzer obtains a value representing a motion state of the subject based on a ratio, to a reference length, of a distance between predetermined joints estimated on an image; a reference storage stores a height of a subject as the reference length; a motion analyzer obtains, as a value for use in evaluation of motion of the subject, the value representing the motion state of the subject from a feature point distance on the image of a plurality of anatomical feature points based on a ratio, to the height, of a distance on the image that is determined from the plurality of anatomical feature points and corresponds to the height of the subject; and an evaluation processor evaluates the motion of the subject based on the value representing the motion state.

Abstract: In a markerless foot size estimation device 100, a shape data input unit 10 acquires three-dimensional shape data of a foot of a subject and stores the three-dimensional shape data in a shape data storage unit 20. A characteristic extraction unit 30 extracts foot shape characteristics from the three-dimensional shape data of a subject's foot stored in the shape data storage unit 20, and stores the foot shape characteristics in a shape characteristic storage unit 40. A machine learning unit 50 uses, as teacher data, foot shape characteristics and arch height stored in the shape characteristic storage unit 40 to create, through machine learning, an estimation model used to estimate arch height based on foot shape characteristics, and stores the estimation model in an estimation model storage unit 60. An estimation output unit 70 uses the estimation model stored in the estimation model storage unit 60 to estimate arch height based on extracted shape characteristics and outputs the arch height.

Abstract: A measuring board having a simple structure is to be provided. A measuring board includes a main body having a foldable structure, and the main body includes a placement part on which a foot is placed and that includes a measurement marker, a wall part provided adjacent to the placement part and configured to position a heel during measurement, and supporting structures and that support the wall part. With such a configuration, a measuring board having a simple structure can be provided.

Abstract: A motion state evaluation system is provided with a motion analyzer obtains a value representing a motion state of the subject based on a ratio, to a reference length, of a distance between predetermined joints estimated on an image; a reference storage stores a height of a subject as the reference length; a motion analyzer obtains, as a value for use in evaluation of motion of the subject, the value representing the motion state of the subject from a feature point distance on the image of a plurality of anatomical feature points based on a ratio, to the height, of a distance on the image that is determined from the plurality of anatomical feature points and corresponds to the height of the subject; and an evaluation processor evaluates the motion of the subject based on the value representing the motion state.