Abstract: Provided is a motion recognition apparatus capable of individually recognizing motions performed using each body part. A motion recognition apparatus (10) includes: an acquisition unit (11) configured to acquire time series information regarding motions of an operator; a motion recognition unit (12) configured to recognize, on the basis of motion information that defines individual motions and the time series information, a motion of the operator corresponding to any one of the individual motions for each body part of the operator and generate a motion recognition result including a start time and an end time of the one of the individual motions corresponding to the recognized motion of the operator for each body part of the operator; and a display unit (13) configured to display the motion recognition result of each body part in a chronologically aligned manner on the basis of the generated motion recognition result.

Abstract: A learning system trains neural networks to output, in response to an input of first training data included in each first learning dataset, values each fitting first answer data from output layers and values fitting each other from attention layers each nearer an input end of each neural network than the output layer. The learning system evaluates, based on the output value obtained from the attention layer in each of the trained neural networks, a degree of output instability for each piece of second training data and extracts, based on the evaluation result, at least one piece of second training data to be labeled with second answer data.

Abstract: Provided is a motion recognition apparatus capable of individually recognizing motions performed using each body part. A motion recognition apparatus (10) includes: an acquisition unit (11) configured to acquire time series information regarding motions of an operator; a motion recognition unit (12) configured to recognize, on the basis of motion information that defines individual motions and the time series information, a motion of the operator corresponding to any one of the individual motions for each body part of the operator and generate a motion recognition result including a start time and an end time of the one of the individual motions corresponding to the recognized motion of the operator for each body part of the operator; and a display unit (13) configured to display the motion recognition result of each body part in a chronologically aligned manner on the basis of the generated motion recognition result.

Abstract: A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.

Abstract: A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.

Abstract: A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.

Abstract: A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.