Abstract: According to one embodiment, an additional training apparatus includes processing circuitry. The processing circuitry stores, in a memory, a plurality of pieces of existing training data in which existing data is input data and a classification of defects according to the existing data is output data, and cluster data representing clusters to which the respective pieces of existing training data belong. The processing circuitry extracts a plurality of pieces of first existing training data from the pieces of existing training data in accordance with a size of each of the clusters. The processing circuitry acquires a plurality of pieces of new training data in which new data is input data and a classification of defects according to the new data is output data.

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 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: According to one embodiment, a defect management apparatus includes a processor. The processor acquires first information and second information, the first information including first defect positions relating to defects detected with a first device for an inspection target and corresponding first labels indicating classifications of the defects, the second information including second defect positions relating to defects detected with a second device for the inspection target. The processor determines a first defect position corresponding to a second defect position as a corresponding defect position. The processor diverts the first label corresponding to the corresponding defect position as a second label of the second defect position.

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: 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, 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.

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: The acquiring unit is configured to acquire positions of a particular part of a user in time series. The calculator is configured to calculate a feature value of a motion of the particular part from the positions acquired in time series. The comparing unit configured to compare the feature value and a first threshold. The recognizing unit is configured to recognize the motion of the particular part using a first recognition method and a second recognition method which is different from the first recognition method. The control unit configured to control the recognizing unit to select the first recognition method for recognizing a position or a motion of the particular part when the feature value is smaller than the first threshold, and select the second recognition method when the feature value is equal to or larger than the first threshold.

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: In an embodiment, a recognition apparatus includes: an obtaining unit configured to obtain positions of a specific part in a coordinate system having a first axis to an n-th axis (n?2); a calculating unit configured to calculate a movement vector of the specific part; a principal axis selecting unit configured to select a principal axis; a turning point setting unit configured to set a position at which there is a change in the principal axis, and set a position at which there is a change; a section setting unit configured to set a determination target section, and set a previous section; a determining unit configured to calculate an evaluation value of the determination target section and an evaluation value of the immediately previous section and, determine which of the first axis to the n-th axis is advantageous; and a presenting unit configured to perform the determined result.

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.