Nec Corporation

Chenhui Huang

Kenichiro Fukushi

Shinichi Izumi

Keita Honda

Dai Owaki

Zhenwei Wang

Yusuke Sekiguchi

Haruki Yaguchi

Hiroaki Nakano

Kentaro Nakahara

Akira Kamei

Hiroshi Kajitani

Toshinori Takemura

Koichi Morikawa

Kazuki Ihara

Noriyuki Tonouchi

Hiroshi Okuda

Hannah Pokka

Masahiro Tanomura

Yuka Imai

Itsumi Haneda

Fumiyuki Nihey

Itsumi Kato

In order to estimate the type of footwear worn by a pedestrian, an estimation device and the like according to the present invention are provided with: an extraction unit which acquires sensor data from a sensor installed on the footwear, and uses the sensor data to extract a walking feature quantity characteristic of walking in footwear; and an estimation unit which estimates the type of footwear on the basis of the walking feature quantity extracted by the extraction unit.

Estimation device, estimation system, estimation method, and program recording medium

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.

A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures, and a risk estimation unit that estimates a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase.

Risk estimation apparatus, risk estimation system, risk estimation method, and non-transitory computer readable recording medium

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.

Information processing device, state determination system, energy calculation system, information processing method, and storage medium

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 a walking environment from time series data in at least one walking cycle included in the load information.

Information processing device, walking environment determination device, walking environment determination system, information processing method, and storage medium

A discrimination device includes: a log acquisition unit that acquires sensor data including acceleration acquired by a sensor placed in a shoe, a storage unit that stores log data of the sensor data, a log calling unit that calls the log data stored in the storage unit, a discrimination unit that distinguishes a walking state from a waveform of the log data, a threshold setting unit that retains a first threshold and a second threshold, and sets the first threshold and the second threshold based on a discrimination result, and a transmission unit that transmits the discrimination result. When acceleration in the log data has not exceeded the second threshold within a discrimination time, the discrimination device outputs a discrimination result of being erroneous activation, and updates the first threshold based on a value of the acceleration in the traveling direction in the log data according to the discrimination result.

Discrimination device, discrimination method, and program recording medium

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.

Identification device, identification system, identification method, and program recording medium using a walking waveform of a user

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.

Module management system, module management method, and program

A data analysis apparatusincludes; an align unitthat acquires a pair data of a first data indicating a characteristic of a specific region and a second data corresponding to the first data and indicating another characteristic of the specific region, and aligns the first data in order of their sizes, a classification model generation unit that groups the pair data based on a characteristic of an order distribution of the first data after alignment, classifies the pair data, and generates a classification model for classifying the pair data using the classification result, a regression model generation unit that performs machine learning for each group, using the first data constituting the pair data and the second data constituting the same pair data, and generates a regression model indicating a relation with the first data and the second data.

Data analysis apparatus, data analysis method, and computer-readable recording medium

A foot angle calculation device including: a posture angle calculation unit that calculates a posture angle by using an angular velocity vector of a foot portion; and a foot angle calculation unit that calculates a foot angle that is an angle formed by a velocity vector of the foot portion and a center line of a foot by using the velocity vector and the posture angle.

Foot angle calculation

An estimation device calculates an angle formed by a tip direction of a left foot and a tip direction of a right foot. The estimation device estimates a stride width indicating an interval between heels of the left foot and the right foot, based on the angle.

Estimation device, estimation method, and program

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.

Walk discrimination device, walk discrimination method, and program recording medium

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.

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Tokyo, Japan

Chenhui Huang