Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires image data on a predetermined photographed area, generates part movement information on a plurality of parts of an object included in the image data, based on the image data, acquires sensor data from the object, generates sensor operation information on an operation of a sensor, based on the sensor data, and specifies a relationship between the object included in the image data and the sensor, based on the part movement information and the sensor operation information.

Abstract: According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, calculates a state value based on the sensor data, sets, based on time-series data of the state value and predetermined criteria, a plurality of noticed sections in the time-series data, performs clustering using the state value regarding each of the noticed sections and generates a clustering result, and generates, based on the clustering result, stress information including characteristic information of each of a plurality of clusters.

Abstract: According to one embodiment, an information processing device includes a hardware processor configured to acquire operation cost information indicative of a relationship between a state of an operator and a period of time required for the operator to perform an operation from a storage that stores the operation cost information, acquire state information indicative of a state of a target operator, and calculate a period of time required for the target operator to perform a target operation based on the operation cost information and the state information.

Abstract: According to one embodiment, a recognition apparatus includes processing circuitry. The processing circuitry generates a first feature quantity exhibiting a feature of sensor data based on the sensor data, converts the first feature quantity into a second feature quantity exhibiting a feature contributing to identification of a class of the sensor data, generates a significant feature quantity exhibiting a feature that is significant in the identification of the class based on a cross-correlation between the first feature quantity and the second feature quantity, generates an integrated feature quantity considering features of the first feature quantity and the second feature quantity, based on the second feature quantity and the significant feature quantity, and identifies the class based on the integrated feature quantity.

Abstract: A recognition apparatus according to an embodiment of the present disclosure includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: extract first feature quantity data from sensor data; generate attention information based on a classification contribution of the first feature quantity data; generate a second feature quantity data by processing the first feature quantity data with the attention information; generate processed feature quantity data including the first feature quantity data and the second feature quantity data; and perform classification of a recognition object from the processed feature quantity data by using a classification network.

Abstract: According to one embodiment, a proficiency determination apparatus includes a processing circuit. The processing circuit acquires first time-series data about biological information of a worker in a predetermined period. The processing circuit calculates second time-series data about a physiological index indicating a mental stress on the worker by analyzing the first time-series data. The processing circuit calculates an appearance condition of the physiological index by analyzing the second time-series data. The processing circuit determines a proficiency of the worker based on the appearance condition of the physiological index.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry acquires image data on a predetermined photographed area, generates part movement information on a plurality of parts of an object included in the image data, based on the image data, acquires sensor data from the object, generates sensor operation information on an operation of a sensor, based on the sensor data, and specifies a relationship between the object included in the image data and the sensor, based on the part movement information and the sensor operation information.

Abstract: According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, calculates one or more posture loads relating to one or more body parts of the measurement target based on the sensor data, and displays display data including a posture load graph in which the one or more posture loads are illustrated in time series.

Abstract: According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, estimates an operation of a body part of the measurement target, based on the sensor data, estimates an operation load of the body part, based on information on the operation, estimates a posture of the body part, based on the sensor data, estimates a posture load of the body part, based on information on the posture, estimates a first cumulative load, based on the operation load, and estimates a second cumulative load, which requires a longer load elimination time than the first cumulative load, based on the operation load and the posture load.

Abstract: A determination device according to an embodiment includes one or more processors. The processors identify a worker position. The processors identify a job area which includes the worker position. The processors select, from among a plurality of determiners meant for determining job details of persons from movement information indicating movements of persons, at least one determiner associated with the job area. The processors generate worker movement information indicating movements of a worker. The processors use the at least one selected determiner and determine a job type indicating job details of the worker based on the worker movement information.

Abstract: According to one embodiment, an electronic apparatus is wearable or portable by a user, and includes one or more sensors, one or more processors, and a transmitter. The one or more processors acquires one or more pieces of first time-series sensor data, using the one or more sensors. The one or more processors detects a candidate for at least one of a behavior or a state of the user, using at least one of the one or more pieces of first time-series sensor data. The transmitter transmits, when the candidate is detected, a data subset of a first period, of at least one of the one or more pieces of first time-series sensor data, to an external processing device, in accordance with the candidate.

Abstract: A recognition apparatus according to an embodiment of the present disclosure includes a memory and a hardware processor coupled to the memory. The hardware processor is configured to: extract first feature quantity data from sensor data; generate attention information based on a classification contribution of the first feature quantity data; generate a second feature quantity data by processing the first feature quantity data with the attention information; generate processed feature quantity data including the first feature quantity data and the second feature quantity data; and perform classification of a recognition object from the processed feature quantity data by using a classification network.

Abstract: According to one embodiment, an information processing apparatus includes an acquisition module, a feature calculator and a blood pressure value calculator. The acquisition module is configured to acquire a basic first attribute of a user, a second attribute related to a physique of the user, a third attribute related to a circulatory organ of the user, and a biological signal related to a living body of the user. The feature calculator is configured to calculate a feature in the biological signal. The blood pressure value calculator is configured to calculate a blood pressure value of the user, based on the first attribute, the second attribute, the third attribute, and the feature.

Abstract: A determination device according to an embodiment includes one or more processors. The processors identify a worker position. The processors identify a job area which includes the worker position. The processors select, from among a plurality of determiners meant for determining job details of persons from movement information indicating movements of persons, at least one determiner associated with the job area. The processors generate worker movement information indicating movements of a worker. The processors use the at least one selected determiner and determine a job type indicating job details of the worker based on the worker movement information.

Abstract: According to one embodiment, there is provided an operation recognition device comprising a computer including a hardware processor. The hardware processor is configured to acquire movement information associated with a movement of a user, and area information corresponding to a first operation section; determine, based at least in part on the movement information and the area information corresponding to the first operation section, an estimated position corresponding to a subsequent operation by the user; and determine whether the subsequent operation by the user is directed to the first operation section based at least in part on the estimated position corresponding to the subsequent operation.

Abstract: According to one embodiment, an information processing device includes a hardware processor configured to acquire operation cost information indicative of a relationship between a state of an operator and a period of time required for the operator to perform an operation from a storage that stores the operation cost information, acquire state information indicative of a state of a target operator, and calculate a period of time required for the target operator to perform a target operation based on the operation cost information and the state information.

Abstract: A recognition device according to an embodiment described herein includes a hardware processor. The hardware processor generates a trajectory of a pointer based at least in part on information relating to a movement of the pointer, detects that the pointer contacts an operation surface, determines a detection time when the pointer contacts the operation surface, and determines a detection position of the pointer at the detection time, sets the detection position as a starting point, determines an ending point corresponding to the starting point based on at least the detection time or the detection position, and sets the trajectory from the starting point to the ending point as a target trajectory, and determines a command input by a user with a gesture of the pointer based on the target trajectory.

Abstract: According to one embodiment, a sleep sensor which is attached to a user who is sleeping when it is to be used is provided. The sleep sensor includes a first detector, an estimation module, a second detector and a control module. The first detector is configured to detect an acceleration signal representing acceleration that is obtained from the sleep sensor. The estimation module is configured to estimate the user's body position based on the detected acceleration signal. The second detector is configured to detect a signal for estimating a state other than the user's body position. The control module is configured to operate the second detector when the estimated user's body position is at least one of predefined body positions.

Abstract: According to one embodiment, an information processing device has processing circuitry and a memory. The processing circuitry is configured to acquire myoelectric potential of one part of a body of a user, determine whether the myoelectric potential is higher than reference myoelectric potential, switch autonomous driving to manual driving when the myoelectric potential is higher than the reference myoelectric potential, and output running control information to a mobile object after switching the autonomous driving to the manual driving. The memory is configured to store information that is required for processing that the processing circuitry executes.

Abstract: A recognition device includes an acquisition unit and a processor. The acquisition unit acquires first and second informations. The first information relates to a first signal corresponding to a state of a first portion of a body performing an action. The first signal is generated by a first element mounted to the first portion. The second information relates to a second signal corresponding to a state of a second portion. The second signal is generated by a second element mounted to the second portion. A relative positional relationship between the first portion and the second portion changes according to the action. The processor calculates a first feature based on the first information and a second feature based on the second information. The processor recognizes a type of the action based on a change of the first feature and a change of the second feature.