Abstract: A determination apparatus acquires a feature amount of a whipping motion of a foot and determines a gait disorder risk on the basis of the feature amount.

Abstract: 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.

Abstract: 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.

Abstract: An estimation apparatus acquires stance phases of both feet and estimates a risk of abnormality of a lower limb on the basis of the difference between the stance phases of the both feet.

Abstract: A gait measurement system includes: a locus calculation device that detects at least one gait phase from acceleration data measured by an inertial measurement unit, calculates velocity data by subjecting the acceleration data to time integration, calculates correction amounts associated with each of the gait phases using the gait phases and the velocity data, calculates correction velocity data by subtracting the correction amounts from the velocity data associated with each of the gait phases, and calculates locus data by subjecting the calculated correction velocity data to time integration; and an index calculation device that calculates a gait index, using the locus data calculated by the locus calculation device.

Abstract: Provided is to determine a walking state when a target person uses a stick. A walking state determination device according to an embodiment of the present invention includes: an acquisition unit that acquires feature information indicating a feature of a motion of a target person when using a stick, based on first measurement data acquired from a first sensor installed at the stick and second measurement data acquired from a second sensor installed at the target person; and a determination unit that determines a walking state of the target person, based on the acquired feature information.

Abstract: A measurement device includes: a data acquisition unit that measures a sensor detection value by a sensor in at least two operation modes including a first mode with low power and a second mode for operating at a high speed, transmits a trigger signal when the detected value exceeds a first threshold value while operating in the first mode, transmits a first notification signal notifying that the user has started walking when the detected value has exceeded a second threshold value while operating in the second mode, and starts measuring gait data including a walking characteristic of the user wearing the sensor based on the sensor detection value; and a control unit that switches the operation mode to the second mode when the trigger signal is received, and switches the operation mode to the first mode when a predetermined condition is satisfied after reception of the first notification signal.

Abstract: An image generation device according to an aspect of the present invention includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: generate, from a first image in a first wavelength band and a second image in a second wavelength band different from the first wavelength band, a composite image containing a first frequency component based on the first image and a second frequency component based on the second image; and output the composite image.

Abstract: A body weight estimation device includes: a data reception unit that receives gait data including the gait characteristics of a walking person; a first calculation unit that extracts a feature quantity based on the gait characteristics of the walking person from the gait data; a second calculation unit that generates a learning model by learning a correlation between the feature quantity extracted by the first calculation unit and body weight information about the walking person, using the gait data as sample data; and an estimation unit that estimates the body weight information associated with the gait data of an estimation target by inputting the gait data of the estimation target to the learning model.

Abstract: In order to distribute content suitable for a user according to a fatigue degree of the user who uses an information distribution service at an appropriate timing, an information distribution device includes a measurement data acquisition means that acquires measurement data regarding a motion of the user, a measurement data analysis unit that analyzes the measurement data acquired by the measurement data acquisition means and calculates a fatigue indicator indicating a degree of fatigue of the user, a content generation unit that generates content on the basis of the fatigue indicator calculated by the measurement data analysis unit, and a notification management unit that distributes the content generated by the content generation unit on the basis of the fatigue indicator.

Abstract: A presymptomatic disease countermeasure system 90 includes a motion measurement unit 91 which obtains motion data that is time-series data representing motion, by measuring the motion of an object, a joint reaction force computation unit 92 which computes joint reaction force at a joint to be evaluated among joints of the object, using the obtained motion data and ground reaction force data that is time-series data representing ground reaction force applied to the object, a feature amount computation unit 93 which computes a feature amount representing a load repeatedly applied to the joint to be evaluated on the basis of the computed joint reaction force, and a determination unit 94 which determines a joint disorder risk indicator that is an indicator representing a joint disorder risk that is the risk of causing joint disorder, on the basis of the computed feature amount.

Abstract: An image generation device according to an aspect of the present invention includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: generate, from a first image in a first wavelength band and a second image in a second wavelength band different from the first wavelength band, a composite image containing a first frequency component based on the first image and a second frequency component based on the second image; and output the composite image.

Abstract: 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 orthotic comprises a storage unit in which elastic strength and 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 constraint condition of an orthotics user and the elastic strength and kinematic properties.

Abstract: Provided are a reference scale and dimension measurement system that make it possible to maintain accurate measurement even if the reference scale is not disposed or projected on a measurement surface.

Abstract: A walking state measurement device according to the present invention includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: estimate a floor reaction force by use of at least either of motion data and lower limb vertical load data of a walker, and outputting the floor reaction force as floor reaction force data; and calculate a walking state of the walker by use of at least either of the motion data and the floor reaction force data, and outputting the walking state.

Abstract: Provided is to determine a walking state when a target person uses a stick. A walking state determination device according to an embodiment of the present invention includes: an acquisition unit that acquires feature information indicating a feature of a motion of a target person when using a stick, based on first measurement data acquired from a first sensor installed at the stick and second measurement data acquired from a second sensor installed at the target person; and a determination unit that determines a walking state of the target person, based on the acquired feature information.

Abstract: Provided are a reference scale and dimension measurement system that make it possible to maintain accurate measurement even if the reference scale is not disposed or projected on a measurement surface.