Asics Corporation

Asks Corporation

Hiroyuki Kusumi

Genki Hatano

Satoru Abe

Shingo Takashima

Norihiko Taniguchi

Mai Nakaya

Masaru Ichikawa

Masayuki Tsutsui

Makoto Katsu

Kazunari Takeichi

Hironori Shinohara

Tetsuro Kurashina

Toshiaki Okamoto

Yuta Kawai

A prediction device includes: a communication device that acquires measurement subject data including measurement data of a shape of a foot of a measurement subject person in a loaded state; a storage that stores first sample data in the loaded state and second sample data in an unloaded state, the first sample data and the second sample data being calculated from measurement data of foot shapes of a plurality of samples, the samples being identical both in the loaded state and the unloaded state; and a processor that predicts the shape of the foot of the measurement subject person in the unloaded state. The processor calculates a difference between the measurement subject data and the first sample data, and predicts the shape of the foot of the measurement subject person in the unloaded state based on the difference and the second sample data.

Prediction device, prediction method, and prediction system

In a markerless foot size estimation device, a shape data input unitacquires three-dimensional shape data of a foot of a subject and stores the three-dimensional shape data in a shape data storage unit. A characteristic extraction unitextracts foot shape characteristics from the three-dimensional shape data of a subject's foot stored in the shape data storage unit, and stores the foot shape characteristics in a shape characteristic storage unit. A machine learning unituses, as teacher data, foot shape characteristics and arch height stored in the shape characteristic storage unitto 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. An estimation output unituses the estimation model stored in the estimation model storage unitto estimate arch height based on extracted shape characteristics and outputs the arch height.

Markerless foot size estimation device, markerless foot size estimation method, and markerless foot size estimation program

A shoe shape selection method selects an appropriate shoe shape from a plurality of kinds of shoe shapes prepared beforehand, based on a plurality of items of data on a customer. The plurality of data items include the foot length of the customer, the foot girth of the customer and the difference between the lengths of the first and second toes of the customer.

Shoe shape selection method, shoe shape selection system and shoe tip shape selection method

In a foot inclination angle measuring method of the present application, the shape of a footis measured in three dimensions. And, based on three-dimensional data on the measured shape of the foot, a two-dimensional cross sectionof the footorienting in a front-rear direction, which includes a cross section of a heel of the foot, is obtained. Then, a central line Cof the two-dimensional cross sectionin a right-left direction is obtained and the angle of inward/outward inclination of the footis obtained from the angle of inclination (a) of the central line C

Foot tilt angle measuring method, method of selecting shoe or insole for shoe method of manufacturing shoe or insole for shoe, and foot unit tilt angle measuring device

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Kobe, Japan

Hiroyuki Kusumi