Abstract: A motion visualization system 1 includes a skeleton recognition program 2 obtaining joint coordinates of a target person, a pitch extraction program 6 extracting a walk cycle of the target person based on the joint coordinates, and a storage unit 106 storing a skeleton normalization program 3 transforming coordinates of the joint coordinates in a reference coordinate system where a direction in which a predetermined portion of the target person moves is set as an axis of a traveling direction in one walk cycle extracted and transforming the joint coordinates based on information on the target person.

Abstract: In a motion analysis apparatus 101, a data input unit 205 acquires a first imaging result and a second imaging result. in the motion analysis apparatus 101, a skeleton recognition unit 206 recognizes skeleton positions of a subject using the first imaging. result acquired by the data input unit 205, and recognizes skeleton positions of the subject using the second imaging result acquired by the data input unit 205. A motion period extraction unit 403 extracts a period from a start of a motion to an end of the motion as a range of data for comparing skeleton feature points recognized by the skeleton recognition unit 206. The similarity calculation unit 401 compares skeleton feature points recognized for an input from a depth camera with skeleton feature points recognized for an input from an RGB camera to calculate similarities, and outputs a determination result based on the similarities.

Abstract: Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.

Abstract: The present invention aims to provide a blood flow analysis device capable of accurately identifying a change in the blood flow in a muscle caused by resistance exercise performed by a subject. A blood flow analysis device according to the present invention specifies a resistance exercise period during which a muscle of a subject present at a position to be measured by a motion sensor is performing a resistance exercise, and analyzes a light detection signal in the resistance exercise period, to thereby calculate a feature amount of a change in the blood flow in the muscle of the subject in the resistance exercise period (see FIG. 1).

Abstract: Provided is a technique for automatically extracting a cross section with a high degree of precision and at high speed, with avoiding problems of operator dependence and imaging target dependence, from 3D volume data or temporally sequential 2D or 3D images or 3D volume data, acquired by a medical imaging device, when determining the cross section used for diagnosis and measurement. An image processor of an imaging device is provided with a cross section extractor for extracting a specified cross section from imaged data. The cross section extractor determines the specified cross section by using a learning model trained in advance to output discrimination scores for a plurality of cross sectional image data, the discrimination score representing spatial or temporal proximity to the specified cross section. The learning model is a downsized model obtained by integrating a highly trained model having a large number of layers, with an untrained model having less number of layers, followed by retraining.

Abstract: Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.

Abstract: An ultrasonic diagnostic apparatus that extracts a feature to be satisfied as a measurement cross section, classifies the extracted feature according to the degree of importance, and displays and selects an adequate cross-sectional image for each measurement item is provided. The ultrasonic diagnostic apparatus includes an image processing unit 1005 for processing an RF signal from the ultrasonic diagnostic apparatus to generate a cross-sectional image, and a adequacy determination unit 1007 for determining whether the cross-sectional image is adequate, or not, as a measurement image used for measuring a subject included the cross-sectional image acquired by the image processing unit 1005, and has a configuration in which a result determined by the adequacy determination unit 1007 is displayed on a monitor 1006, and presented to an operator.

Abstract: Provided is a technology related to digital broadcast that effectively uses metadata. A content receiving device for receiving broadcast waves includes: a receiving unit which receives the broadcast waves; an input unit which inputs a user input; a recording unit which records content included in the broadcast waves on a recording medium; and a control unit, and in the content receiving device, character facial data to be information enabling identification of faces of characters of the content is included in the broadcast waves, and the control unit generates searching facial data to be information enabling identification of faces of persons, on the basis of information input to the input unit, and controls recording of the content on the recording medium, on the basis of the searching facial data and the character facial data.

Abstract: A packet relaying apparatus comprises a payload type discrimination unit for discriminating the type of payload in each received packet, a payload reconstruction unit for dividing the payload in predetermined block size units and for reconstructing the payload in the predetermined block size units, and a controller for overall controlling the apparatus.

Abstract: A receiver apparatus capable of retaining the quality of video images received through complexity-reduced small-load processing without having to depend upon its associated transmitter device. In cases where an instruction is made for receiving streaming data in the process of performing the processing of download data, when the loss of such streaming data is predicted to increase in such a way as to go beyond a predetermined degree if both the processing of download data and the processing of streaming data are performed at a time, the receiver performs the processing of the streaming data by giving thereto a higher level of priority.

Abstract: A packet relaying apparatus comprises a payload type discrimination unit for discriminating the type of payload in each received packet, a payload reconstruction unit for dividing the payload in predetermined block size units and for reconstructing the payload in the predetermined block size units, and a controller for overall controlling the apparatus.