Abstract: In order to estimate the type of footwear worn by a pedestrian, an estimation device and the like according to the present invention are provided with: an extraction unit which acquires sensor data from a sensor installed on the footwear, and uses the sensor data to extract a walking feature quantity characteristic of walking in footwear; and an estimation unit which estimates the type of footwear on the basis of the walking feature quantity extracted by the extraction unit.

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: 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.

Abstract: In order to provide a gait measurement system by which gait symmetry in day-to-day life can easily be measured, the present invention offers a gait measurement system comprising a data acquisition device that measures physical quantities associated with the respective movement of the left and right feet, and a calculation device that uses the physical quantities associated with the respective movement of the left and right feet to calculate gait symmetry.

Abstract: A mobile terminal detects a self-device being located at a predetermined location, and stops reception of sensing information from a module device that transmits the sensing information, if being located at the predetermined location is detected. A fixed device receives the sensing information from the module device, and transmits the sensing information to a cloud server.

Abstract: In order to easily measure the foot angle of a pedestrian with high accuracy, the present invention provides a foot angle calculation device comprising: a posture angle calculation unit that uses an angular velocity vector of a foot to calculate the posture angle thereof; and a foot angle calculation unit that uses a foot velocity vector and the posture angle to calculate a foot angle, which is the angle formed by the velocity vector and the center line of the foot.

Abstract: A gait measurement system including: a data acquisition device that measures physical quantities related to pressures of left and right feet; and a calculation device that calculates a symmetry of walking using the physical quantities related to the pressures of the left and right feet.

Abstract: Please delete the Abstract of the Disclosure, and replace it with the following: A feature-amount generation device that includes an extraction unit that generates a gait waveform for one gait cycle from time-series data of sensor data related to a motion of a foot, extracts a feature amount from the generated gait waveform, and extracts a gait phase cluster by integrating a plurality of temporally continuous gait phases from each of which a feature amount is extracted, and a generation unit that generates a feature amount of the gait phase cluster using a preset feature-amount constitutive expression, and generates feature-amount data in which the plurality of gait phases constituting the gait phase cluster and the feature amount of the gait phase cluster are associated with each other.

Abstract: This walking index calculation device comprises: a waveform generation unit that uses sensor data related to foot movement acquired by a sensor installed in footwear to generate a walking waveform in order to calculate the toe clearance while walking in daily life; a detection unit that detects, from the walking waveform, the timing at which the toe clearance is minimized; and a calculation unit that uses walking parameters at the timing when the toe clearance is minimized to calculate the minimum value of the toe clearance.

Abstract: In the information processing device, the information acquisition means acquires project information inputted by an R&D worker. The information output means outputs the project information to a user terminal. The project application acquisition means acquires applications for a project inputted by a plurality of user terminals. The project establishment determination means determines whether or not the project is established, based on the applications for the project.

Abstract: Provided is a waist swinging estimation device including a communication unit that acquires feature amount data including a feature amount extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data regarding a movement of a foot of a subject and used for estimation of waist swinging that is an index regarding a movement of a waist, a storage unit that stores an estimation model that outputs an estimated value regarding the waist swinging according to an input of a feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model, and estimate waist swinging of the subject according to an estimated value regarding the waist swinging output from the estimation model, and an output unit that outputs information according to waist swinging of the subject.

Abstract: A detection device includes a waveform generation unit that generates a gait waveform using sensor data related to a motion of a foot, and a detection unit that detects a gait event from the gait waveform based on a condition set for each of an angle, an angular velocity, and an acceleration in a sagittal plane.

Abstract: Provided is a pelvic inclination estimation device including a communication unit that acquires feature amount data including a feature amount to be used for estimation of a pelvic inclination, the feature amount being extracted from a gait waveform of a spatial acceleration and a spatial angular velocity included in sensor data related to movement of a foot of a subject, a storage unit that stores an estimation model that outputs an estimation value related to the pelvic inclination according to an input of the feature amount included in the feature amount data, an estimation unit that inputs a feature amount included in the acquired feature amount data to the estimation model and estimate a pelvic inclination of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the pelvic inclination of the subject.

Abstract: An index value estimation device including a data acquisition unit that acquires feature amount data including a feature amount extracted from sensor data related to a motion of a foot of a user and used for estimating an index value indicating a knee state of the user, a storage unit that stores an estimation model that outputs an index value according to an input of the feature amount data, an estimation unit that estimates an output obtained by inputting the acquired feature amount data to the estimation model as an index value indicating the knee state of the user, and an output unit that outputs information about the estimated index value indicating the knee state of the user.

Abstract: Provided is a gait information generation device including an acquisition unit that acquires gait data including time-series data of a foot position of a subject, a detection unit that detects a start point and an end point of a gait cycle from the time-series data of the foot position included in the gait data, a calculation unit that calculates a first movement amount component related to the start point and a second movement amount component related to the end point, a gait information generation unit that generates gait information about a gait movement path of the subject using the calculated first movement amount component and the calculated second movement amount component, and an output unit that outputs the generated gait information.

Abstract: A knee trajectory information generation device which includes an acquisition unit that acquires walking data including time-series data of a foot position and a knee position of a subject, a first calculation unit that calculates a first movement route connecting a start point and an end point of a gait cycle by using time-series data of the foot position included in the walking data, a second calculation unit that calculates a second movement route corresponding to a trajectory of the knee position between the start point and the end point of the gait cycle by using time-series data of the knee position included in the walking data, an information generation unit that calculates a difference between the first movement route and the second movement route and generate knee trajectory information including visual information corresponding to the calculated difference, and an output unit that outputs the generated knee trajectory information.

Abstract: In order to estimate the degree of supination/pronation of a foot through a simple configuration, an estimation device comprises a detection unit for detecting the period of a stance end phase from time-series data of sensor data based on a physical quantity relating to foot movement measured by a sensor installed on a foot part, a feature quantity extraction unit for extracting a feature quantity from the angular waveform in the coronal plane during the period of the stance end phase, and an assessment unit for assessing the degree of supination/pronation of the foot using the feature quantity extracted from the angular waveform in the coronal plane.

Abstract: Provided is a gait information generation device including an acquisition unit that acquires waist position information including time-series data of a waist position of a subject in a predetermined gait cycle, a waist oscillation calculation unit that calculates, for a plurality of gait phases included in the predetermined gait cycle, a waist oscillation corresponding to a distance between a reference line set for the time-series data of the waist position of the subject and the waist position in each of the plurality of gait phases, a gait information generation unit that generates gait information according to the waist oscillation calculated with respect to the predetermined gait cycle, and an output unit that outputs the generated gait information.

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: In order to calculate, with a high degree of accuracy, step lengths for both feet on the basis of a physical quantity relating to the movement of one foot, this calculation device includes: a detection unit that generates a walking waveform using sensor data and detects a walking event from the generated walking waveform, the sensor data being based on a physical quantity that is measured by a sensor positioned on one foot of a walker and relates to the movement of the foot; and a step length calculation unit that calculates the step lengths for both left and right feet on the basis of the timing of the detected walking event.