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 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 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.

Abstract: Provided is a method for stably storing a nanocarbon dispersion liquid comprising a surfactant for a long period of time. One aspect of the present invention relates to a method for storing a nanocarbon dispersion liquid comprising a low-temperature storage step of storing the nanocarbon dispersion liquid at 10° C. or lower and/or a surfactant concentration adjustment step of adjusting a concentration of the surfactant in the nanocarbon dispersion liquid so as to be less than 100 times of a critical micelle concentration and equal to or more than the critical micelle concentration.

Abstract: A nanocarbon separation device includes a separation tank that is configured to accommodate a dispersion liquid including nanocarbons, a first electrode that is provided at an upper part in the separation tank, a second electrode that is 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 fractionation unit that is configured to fractionate the dispersion liquid based on the physical state or the chemical state.

Abstract: A determination device includes: a sensor data reception unit that receives sensor data including acceleration in a travel direction of a user and in a gravity direction; a walking state discrimination unit that switches to a discrimination mode in response to the acceleration in the gravity direction exceeding a first threshold in a power saving mode, and switches to a walk measurement mode in response to the acceleration in the travel direction exceeding a second threshold in the discrimination mode; a change trend detection unit that detects a change trend of peak values using log data of the peak values of the acceleration in the travel direction in the discrimination mode; a threshold change unit that changes the second threshold based on a detection result by the change trend detection unit; and a transmission unit that transmits the sensor data in the walk measurement mode.

Abstract: Accurate, low cost detection of biological signals can be achieved by a biological signal estimation device provided with: a first measurement unit for measuring a first signal generated in a living body; a second measurement unit for measuring a second signal generated in the living body; a comparison unit for comparing characteristics of the first signal and the second signal; and an estimation unit for estimating a biological signal in the living body by performing signal processing on the first signal and the second signal on the basis of the result of comparison of the characteristics by the comparison unit.

Abstract: Provided is an information processing device including an acquisition unit configured to acquire motion information of a foot of a user measured by a motion measurement device and a determination unit configured to determine whether or not the user is in a pedaling state in which the user pedals a bicycle based on an angle between a sole and a ground generated from the motion information.