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: 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 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 nanocarbon separation apparatus includes: an electrophoresis tank; electrodes disposed in an upper part and a lower part of the electrophoresis tank; a first injection port through which a liquid is injected into the electrophoresis tank; a second injection port which is provided below the first injection port and through which a liquid having a pH lower than a pH of the liquid injected through the first injection port is injected into the electrophoresis tank; and a recovery port provided in a surface facing a surface having the first injection port and the second injection port, wherein the liquid injected through at least one of the first injection port and the second injection port is a dispersion liquid having nanocarbons dispersed therein.

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: 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: 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: 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: Provided is an identification device for identifying an individual on the basis of gait irrespective of the type of footwear, the identification device comprising a detection unit that detects a walking event on the basis of a walking waveform of a user, a waveform processing unit that normalizes the walking waveform on the basis of the detected walking event and generates a normalized waveform, and an identification unit that identifies the user on the basis of the normalized waveform.

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 nanocarbon separation method includes a step of preparing a dispersion liquid having nanocarbons dispersed therein; a step of injecting a liquid including the dispersion liquid into an electrophoresis tank so that a pH of the liquid increases from a bottom to a top in a direction of gravitational force; and a step of applying a direct current to electrodes disposed in an upper part and a lower part of the electrophoresis tank.

Abstract: A nanocarbon separation method includes: a step of preparing a plurality of liquids with different specific gravities in which at least one of the plurality of liquids is a dispersion liquid in which a mixture of nanocarbons with different properties is dispersed; a step of sequentially injecting the plurality of liquids into an electrophoresis tank so that the specific gravities of the liquids decrease from a bottom to a top of the liquids in a direction of gravitational force; and a step of separating the mixture of the nanocarbons by moving a part of the mixture toward an electrode side disposed in an upper part of the electrophoresis tank and moving a remainder of the mixture toward an electrode side disposed in a lower part of the electrophoresis tank by applying a direct current voltage to the electrodes.