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.

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.

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.

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.

A method for generating foot shape specification data includes obtaining foot shape 3D data (FS3D) by measuring the three-dimensional shape of a bare foot (BF) of a subject (P) of measurement; generating a virtual insole (VIS) for measurement based on the obtained foot shape 3D data (FS3D); generating corrected foot shape 3D data (CFSD) by adding the data of the virtual insole (VIS) to a sole portion of the obtained foot shape 3D data; and obtaining foot shape specification data (FSSD) by measuring a predefined dimension of the corrected foot shape 3D data (CFSD) to determine a foot shape.

A device for measuring the inner size of a shoe includes a measuring unit including a sensor inserted into the shoe so as to measure the distance up to the inner surface of the shoe, a driving unit capable of rotating the measuring unit around a preset rotation axis, and a frame for supporting the driving unit.

A device for measuring the inner size of a shoe includes a measuring unit including a sensor inserted into the shoe so as to measure the distance up to the inner surface of the shoe, a driving unit capable of rotating the measuring unit around a preset rotation axis, and a frame for supporting the driving unit.

A shoe fit measuring device, comprising: a replica human foot portion; pressure sensors; and distance gauges. The pressure sensors and distance gauges are configured to determine whether shoes being fit tested are the correct size. The replica human foot and the sensors may be configured to be inserted into the shoes being fit tested so that fit measurements may be taken.

A shoe fit measuring device, comprising: a replica human foot portion; pressure sensors; and distance gauges. The pressure sensors and distance gauges are configured to determine whether shoes being fit tested are the correct size. The replica human foot and the sensors may be configured to be inserted into the shoes being fit tested so that fit measurements may be taken.

Embodiments are directed to manufacturing footwear. A first outer mold shell and a second outer mold shell may be provided. A first inner mold body and a second inner mold body may be manufactured. The first and second inner mold bodies may have respective first and second inner mold surfaces. The second inner mold surface, together with the first inner mold surface, may define an internal mold volume. The first and second inner mold bodies may be removably coupled to the respective first and second outer mold shells to form first and second hybrid side rings. The first hybrid side ring and the second hybrid side ring may be installed in an automated injection molding machine. The installed first hybrid side ring may be moved toward the installed second hybrid side ring to provide the internal mold volume. One or more liquids may be injected into the internal mold volume.