METHOD OF SUPPORTING SELF-LEARNING AND SYSTEM FOR PERFORMING THE SAME

    公开(公告)号:US20230127732A1

    公开(公告)日:2023-04-27

    申请号:US17727557

    申请日:2022-04-22

    Abstract: A method of supporting self-learning and a system for performing the method are disclosed. The method includes estimating an object of interest of a user in content based on user performance information inputted by the user in response to content situation information and the content being received from a learning module including the content, analyzing the content situation information, determining whether to generate support information for supporting the user to perform the content based on the estimated object of interest and the analyzed content situation information, and generating the support information that allows the user to self-learn the content according to whether to generate the support information, and outputting the support information to the learning module.

    APPARATUS FOR TRACKING TRAJECTORY OF HIGH-SPEED MOVING OBJECT AND METHOD THEREFOR

    公开(公告)号:US20170256063A1

    公开(公告)日:2017-09-07

    申请号:US15242746

    申请日:2016-08-22

    Abstract: An object trajectory tracking apparatus for tracking three-dimensional position of a high-speed moving instrument, i.e., a high-speed moving object for which it is difficult to acquire actual depth information, and a moving path thereof when information is extracted by utilizing a single depth sensor in a swing motion of sport in which a predetermined instrument is used by hand, and method therefor. The apparatus includes grid information generation unit, shadow area determination unit, initial object position information generation unit, object position estimation unit, and three-dimensional trajectory restoration unit, tracks three-dimensional route of an object, for which it is difficult to acquire depth information, in a fast sports motion such that information that allows user to correct and learn motion can be provided, and calculates a three-dimensional position and route calculated such that information required for practicing a more accurate swing motion can be provided.

    SYSTEM AND METHOD OF RECOGNIZING COLLISION POSITION OF SCREEN

    公开(公告)号:US20200226784A1

    公开(公告)日:2020-07-16

    申请号:US16738802

    申请日:2020-01-09

    Abstract: A system for recognizing collision positions of a plurality of moving objects in a screen includes an infrared camera configured to obtain an image frame when a plurality of moving objects move toward a screen, a memory configured to store a program for calculating a collision position in the screen on the basis of the image frame, and a processor configured to execute the program stored in the memory. By executing the program, the processor detects all of the plurality of moving objects from the image frame to generate a graph where moving objects included in a successive image frame are connected to one another, and calculates a collision position of the moving object included in the image frame and a collision position of the moving object in the screen on the basis of the graph.

    METHOD AND APPARATUS FOR VIRTUAL TRAINING BASED ON TANGIBLE INTERACTION

    公开(公告)号:US20220157022A1

    公开(公告)日:2022-05-19

    申请号:US17528401

    申请日:2021-11-17

    Abstract: A method and an apparatus for virtual training based on tangible interaction are provided. The apparatus acquires data for virtual training, and acquires a three-dimensional position of a real object based on a depth image and color image of the real object and infrared (IR) data included in the obtained data. Then, virtualization of an overall appearance of a user is performed by extracting a depth from depth information on a user image included in the obtained data and matching the extracted depth with the color information, and depth data and color data for the user obtained according to virtualization of the user is visualized in virtual training content. In addition, the apparatus performs correction on joint information using the joint information and the depth information included in the obtained data, estimates a posture of the user using the corrected joint information, and estimates a posture of a training tool using the depth information and IR data included in the obtained data.

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