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公开(公告)号:US20240065385A1
公开(公告)日:2024-02-29
申请号:US18455160
申请日:2023-08-24
Applicant: ASICS CORPORATION
Inventor: Ryota SAKIYAMA , Genki HATANO , Shingo TAKASHIMA , Toshiaki OKAMOTO , Hiroyuki KUSUMI
IPC: A43D1/02 , A43D119/00
CPC classification number: A43D1/02 , A43D119/00 , A43B17/00 , A43D2200/60
Abstract: A sock liner designing apparatus, a sock liner designing method and a recording medium for a recording program are provided that are used to design sock liners that enable functions of footwear desired by a user to be attained when the user wears the footwear. A sock liner designing apparatus includes: an input circuitry that receives an input of measured foot data; a processor that calculates design data of a sock liner based on the foot data received through the input circuitry; and an output circuitry that outputs the design data calculated by the processor. The processor adjusts the design data based on a difference between received footwear functions and footwear data.
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公开(公告)号:US20230200496A1
公开(公告)日:2023-06-29
申请号:US18064029
申请日:2022-12-09
Applicant: ASICS CORPORATION
Inventor: Hiroyuki KUSUMI , Toshiaki OKAMOTO , Genki HATANO , Masaru ICHIKAWA
IPC: A43D1/02
CPC classification number: A43D1/02
Abstract: 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.
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公开(公告)号:US20240065600A1
公开(公告)日:2024-02-29
申请号:US18456767
申请日:2023-08-28
Applicant: ASICS CORPORATION
Inventor: Toshiaki OKAMOTO , Ken KUSANO , Shunsuke YAMAGATA , Masaru ICHIKAWA , Satoru ABE
CPC classification number: A61B5/165 , A61B5/112 , A61B5/6807 , G16H10/20 , G16H20/30 , G16H50/70 , A61B2562/0219
Abstract: An emotion estimating device, an emotion estimating system, and an emotion estimating method capable of estimating an emotion of a subject based on information obtained from daily activities can be provided. An emotion estimating device includes an interface that receives input of walking data of a subject measured by a measurement device and emotion data obtained by quantifying the emotion of the subject, a storage that stores the walking data and the emotion data, and an computer that obtains corresponding data in which a plurality of walking parameters included in the walking data stored in the storage are associated with the emotion data. When the interface newly receives the input of the walking data, the computer estimates the emotion of the subject from the plurality of walking parameters included in the newly received walking data, and outputs information indicating the estimated emotion of the subject.
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公开(公告)号:US20240423329A1
公开(公告)日:2024-12-26
申请号:US18741997
申请日:2024-06-13
Applicant: ASICS CORPORATION
Inventor: Toshiaki OKAMOTO , Genki HATANO
IPC: A43D1/02
Abstract: A prediction device includes: an input device that receives an input of measurement data of the foot shape of the person in a first loaded state, a processing circuitry is using a prediction model trained by machine learning to predict the foot shape of the person in a second loaded state in which a load is different from the first loaded state based on the measurement data received by the input device, and an output device that outputs prediction data of the foot shape of the person in the second loaded state predicted by the processing circuitry. The prediction model is generated in advance through training by machine learning based on training measurement data of a foot shape of a person for training in the first loaded state and training shape data of the foot shape of the person for training in the second loaded state.
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公开(公告)号:US20240386751A1
公开(公告)日:2024-11-21
申请号:US18662409
申请日:2024-05-13
Applicant: ASICS CORPORATION
Inventor: Toshiaki OKAMOTO , Satoru ABE , Shunsuke YAMAGATA , Masanori SAKAGUCHI
Abstract: A posture estimating device includes: at least one sensor attached to the person to be measured, the at least one sensor acquiring walking data based on an acceleration of three axes and an angular velocity of the three axes at at least one location of the person to be measured; a processing circuitry that estimates, using an estimation model trained by machine learning, the whole body posture of the person to be measured during the predetermined motion from the walking data acquired by the sensor; and an output device that outputs estimation data. The estimation model is generated in advance by training by machine learning based on the walking data acquired by the sensor during the predetermined motion and based on posture data obtained by measuring the whole body posture of the person to be measured at a timing when the walking data is acquired.
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公开(公告)号:US20240008587A1
公开(公告)日:2024-01-11
申请号:US18346601
申请日:2023-07-03
Applicant: ASICS CORPORATION
Inventor: Genki HATANO , Toshiaki OKAMOTO , Hiroyuki KUSUMI , Ryota SAKIYAMA , Shingo TAKASHIMA , Yuta KAWAI , Satoru ABE , Norihiko TANIGUCHI
IPC: A43B7/1405 , A43B7/1415 , A43B7/149 , A43B7/28 , B29D35/12
CPC classification number: A43B7/141 , A43B7/1415 , A43B7/149 , A43B7/28 , B29D35/122
Abstract: A sockliner includes: a base layer portion formed of a three-dimensional mesh structure body; and an upper layer portion formed of a sheet-like structure body that covers an upper surface of the base layer portion. The upper layer portion includes a through-hole group including a plurality of holes, and each of the holes is located inward from a peripheral edge of the upper layer portion without reaching the peripheral edge. In a case where a surrounding region is defined as a region between the peripheral edge and a position offset by 4.0 mm inward from the peripheral edge, the through-hole group includes an outermost hole group including a plurality of holes located closest to the peripheral edge so as to overlap with the surrounding region and to align along the peripheral edge.
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