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: 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: 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.

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: 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: An information processing apparatus includes an acquisition unit configured to acquire information based on a sensor attached to a foot of a user, a determination unit configured to make a decision about an abnormality in walking of the user based on an acceleration of the user in a walking direction, acquired by the acquisition unit, and an output unit configured to output information based on a result of the decision made by the determination unit.

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: A mobile terminal acquires a schedule of a user using a module device that includes a sensor, and instructs the module device to initiate a process for determining when to start or when to stop transmitting sensing information detected by the sensor to a communication destination, on the basis of the schedule. The module device acquires the sensing information, and initiates the process for determining when to start or when to stop transmitting the sensing information to the communication destination, on the basis of the instruction to initiate the determination process.

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 anomaly detection device that includes an extraction unit that acquires sensor data from a sensor installed in footwear and extract a gait feature amount characteristic in gait of a pedestrian wearing the footwear by using the sensor data, and a detection unit that detects an anomaly in a foot of the pedestrian walking wearing the footwear based on the gait feature amount extracted by the extraction unit.

Abstract: An estimation device that includes an extraction unit that acquires sensor data from a sensor installed on footwear and extracts a gait feature quantity characteristic of walking in the footwear by using the sensor data, and an estimation unit that estimates a type of the footwear based on the gait feature quantity extracted by the extraction unit.

Abstract: An information processing system includes an acquisition unit configured to acquire sensing data from a sensor device used for a foot, and a determination unit configured to determine an attached state of the sensor device to the foot according to a motion of the foot calculated using the sensing data.

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.

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: Provided is an information processing device including an acquisition unit configured to acquire first load information measured by a first load measurement device provided on a sole of a user and second load information measured by a second load measurement device provided between a toe of the sole and the first load measurement device and a feature amount extracting unit configured to extract a feature amount used for identifying the user based on the first load information and the second load information.

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.

Abstract: Provided is an information processing device including an acquisition unit configured to acquire load information based on a load applied to a load measurement device from a sole of a user and a feature amount extracting unit configured to extract a feature amount indicating weight of the user by time-integrating time series data included in the load information.