Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.

Abstract: A walk discrimination device includes: a data reception unit that receives sensor data including an acceleration and an angular velocity acquired by a sensor installed in a shoe; an acceleration determination unit that determines whether the acceleration included in the sensor data is positive or negative; an attitude angle calculation unit that calculates an attitude angle by use of the acceleration and the angular velocity included in the sensor data; an attitude angle determination unit that determines whether the attitude angle calculated by the attitude angle calculation unit has exceeded a threshold, and determines whether a peak of the attitude angle has been detected; a walk discrimination unit that discriminates a walk based on a determination order by the acceleration determination unit and the attitude angle determination unit; and an output unit that outputs a discrimination result by the walk discrimination unit.

Abstract: A knee pain risk estimation device includes a feature amount construction unit that constructs a feature amount related to a sign variable to be used for estimation of a knee pain risk indicating a risk of having a medical examination in a future due to knee pain, a sign variable estimation unit that inputs the feature amount to a sign variable estimation model to estimate at least one of the sign variables, and performs a principal component analysis on the estimated at least one of the sign variables to generate a principal component vector, a knee pain risk estimation unit that estimates a knee pain risk index, and generates knee pain risk information regarding the knee pain risk by using the estimated knee pain risk index, and an output unit that outputs the generated knee pain risk information.

Abstract: Provided is a gait index calculation device that includes a communication unit that receives sensor data based on spatial acceleration and spatial angular velocity that are measured at a frequency lower than a normal measurement frequency, an interpolation unit that interpolates the sensor data using a predetermined interpolation method, a gait index calculation unit that calculates a gait index using the interpolated sensor data, and an output unit that outputs the calculated gait index.

Abstract: A pulse measurement device including a plurality of light emitters which are disposed on a measurement surface of a substrate to be attached to the skin of a subject to be subjected to pulse measurement and emit light toward the skin of the subject, a light receiver which is disposed on the measurement surface of the substrate and comprises a plurality of light reception units that receive reflected light of the light emitted from the light emitters, and a control unit which causes the light emitters to emit light, receives, reception signals corresponding to the reflected light received by the light receiver from the light receiver, optimizes the intensity of the reception signals using a normalization constant set for the respective light emitters, and outputs the reception signals having intensities optimized using the normalization constants as a pulse signals.

Abstract: Provided is an estimation device including a data acquisition unit that acquires first feature amount data related to a physical ability measured according to a gait of a subject and attribute data of the subject, an estimation unit that constructs second feature amount data related to a physical ability factor and an attribute factor by performing principal component analysis on the acquired first feature amount data and the acquired attribute data, and estimates falling risk information according to a falling risk factor using the constructed second feature amount data, and an output unit that outputs the estimated falling risk information.

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: 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 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 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 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: 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 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: 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: 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 nanocarbon separation device includes a separation tank that is configured to accommodate a dispersion liquid including nanocarbons, a first electrode provided at an upper part in the separation tank, a second electrode provided at a lower part in the separation tank, an evaluation unit that is configured to evaluate a physical state or a chemical state of the dispersion liquid, and a determination unit that is configured to determine a separation state between metallic nanocarbons and semiconducting nanocarbons included in the dispersion liquid from the physical state or the chemical state.

Abstract: According to the present invention, in a configuration in which a biological signal is received from an attachment-type device including one or more light emitting means and two or more light receiving means, information on a living body is acquired with high accuracy. A modulation unit (110) dims the one or more light emitting means with a specific frequency, a receiving unit (120) receives a biological signal based on the light received from a living body through the two or more light receiving means, and an adjusting unit (130) adjusts the intensity of the biological signal acquired from each light receiving means on the basis of the component of a specific frequency of the biological signal.