Abstract: Provided is a harmonic index estimation device including a communication unit that acquires feature amount data including a feature amount used for estimation of a harmonic index related to smoothness of movement of a waist, 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 harmonic index, according to an input of the feature amount included in the feature amount data, an estimation unit that inputs the feature amount included in the feature amount data to the estimation model and estimate a harmonic index of the subject according to the estimation value output from the estimation model, and an output unit that outputs information associated to the harmonic index.

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 measurement device that includes a detection unit that detects a gait event from time-series data of sensor data related to motion of a foot, and a measurement unit that performs a measurement of lower limbs by using the sensor data for a prescribed period with a timing of the gait event as a start point, based on a geometric model on which a constraint condition related to motion of the lower limbs is imposed.

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: A measurement device that includes a detection unit that detects a gait event from time-series data of sensor data related to motion of a foot, and a measurement unit that performs a measurement of lower limbs by using the sensor data for a prescribed period with a timing of the gait event as a start point, based on a geometric model on which a constraint condition related to motion of the lower limbs is imposed.

Abstract: A walking index calculation device that includes a waveform generation unit configured to generate a walking waveform by using sensor data regarding motion of a foot acquired by a sensor installed in footwear; a detection unit configured to detect a timing at which a clearance of a toe is minimized from the walking waveform; and a calculation unit configured to calculate a minimum value of the clearance of the toe by using a walking parameter at the timing at which the clearance of the toe is minimized.

Abstract: A walking index calculation device that includes a waveform generation unit configured to generate a walking waveform by using sensor data regarding motion of a foot acquired by a sensor installed in footwear; a detection unit configured to detect a timing at which a clearance of a toe is minimized from the walking waveform; and a calculation unit configured to calculate a minimum value of the clearance of the toe by using a walking parameter at the timing at which the clearance of the toe is minimized.

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: A walking index calculation device that includes a waveform generation unit configured to generate a walking waveform by using sensor data regarding motion of a foot acquired by a sensor installed in footwear; a detection unit configured to detect a timing at which a clearance of a toe is minimized from the walking waveform; and a calculation unit configured to calculate a minimum value of the clearance of the toe by using a walking parameter at the timing at which the clearance of the toe is minimized.

Abstract: A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.

Abstract: A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.

Abstract: A data processing device that includes a classification unit that classifies at least one piece of living-body information data into at least one group based on an attribute of at least one user, the at least one piece of living-body information data including a sensor value relating to a living body of the user, and a measurement time and a measurement position of the sensor value, and a learning unit that generates, for each of the group, a model for estimating interpolation data for interpolating a deficit of the living-body information data using a correlation among the sensor value included in the living-body information data, the measurement time, and the measurement position.

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.

Abstract: In order to detect a detailed walking event in both legs on the basis of a physical quantity that relates to leg motion measured by a sensor mounted on one leg, there is provided a detection device including: an extraction unit for generating time-series data that accompany walking, using sensor data based on a physical quantity that relates to leg motion measured by a sensor installed on one leg part of a walking person, and extracting a walking waveform from the generated time-series data; and a detection unit for detecting a walking event in both legs of the walking person from the walking waveform extracted by the extraction unit.

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.

Abstract: Provided is a measurement device comprising: a detection unit which detects a walking event from time series data of sensor data pertaining to the movements of feet in order to measure lower limbs on the basis of the sensor data acquired by a single sensor; and a measurement unit which measures the lower limbs by using the sensor data for a prescribed period starting from a walking event timing on the basis of a geometric model to which a constraint condition pertaining to the movements of the lower limbs is given.

Abstract: In order to detect a detailed walking event in both legs on the basis of a physical quantity that relates to leg motion measured by a sensor mounted on one leg, there is provided a detection device including: an extraction unit for generating time-series data that accompany walking, using sensor data based on a physical quantity that relates to leg motion measured by a sensor installed on one leg part of a walking person, and extracting a walking waveform from the generated time-series data; and a detection unit for detecting a walking event in both legs of the walking person from the walking waveform extracted by the extraction unit.

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.

Abstract: In order to detect a detailed walking event in both legs on the basis of a physical quantity that relates to leg motion measured by a sensor mounted on one leg, there is provided a detection device including: an extraction unit for generating time-series data that accompany walking, using sensor data based on a physical quantity that relates to leg motion measured by a sensor installed on one leg part of a walking person, and extracting a walking waveform from the generated time-series data; and a detection unit for detecting a walking event in both legs of the walking person from the walking waveform extracted by the extraction unit.

Abstract: An information processing system includes an identification unit configured to identify unique information on shoes using at least part of a captured image of the shoes, and a setting unit configured to set an association between an acquisition device configured to acquire the unique information and a module device attached to the shoes based on the unique information.