Nec Corporation

Hoya Lens Thailand Ltd.

Yusuke Sekiguchi

Teruo Yamashita

Kenichiro Fukushi

Shinichi Izumi

Dai Owaki

Keita Honda

Chenhui Huang

Haruki Yaguchi

Shogo Kubota

A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures, and a risk estimation unit that estimates a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase.

Risk estimation apparatus, risk estimation system, risk estimation method, and non-transitory computer readable recording medium

The present invention facilitates adjustment of the strength of an elastic orthotic that assists the movement of an orthotics user by whom the elastic orthotic is worn. This calculation device for calculating the optimum elastic strength of an elastic includes a storage unit in which elastic strength or kinematic properties established through experiments in which a plurality of people wear elastic orthotics are stored in advance, and a mathematical optimization processing unit that calculates the optimal elastic strength on the basis of a prescribed evaluation index on the basis of the kinematic limitations of an orthotics user and the elastic strength or kinetic properties.

Optimum elastic strength calculation device, optimum elastic strength calculation system, motion assistance system, optimum elastic strength calculation method, and optimum elastic strength calculation program recording medium

A basal metabolism estimation device includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire first measurement data related to a left foot and second measurement data related to a right foot; identify a starting timing and an ending timing of a stance phase of each of the left and right feet based on the first and second measurement data; calculate a stride time for one cycle of movement of one of the feet during walking and a degree of asymmetry between the first measurement data in the stance phase of the left foot and the second measurement data in the stance phase of the right foot; and estimate basal metabolism based on the stride time and the degree of asymmetry.

Basal metabolism estimation device, basal metabolism estimation system, basal metabolism estimation method, and program

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Sendai, Japan

Yusuke Sekiguchi