SYSTEMS AND METHODS FOR ANALYZING VIDEO DATA AND GENERATING SCORING DATA

    公开(公告)号:US20250014336A1

    公开(公告)日:2025-01-09

    申请号:US18346623

    申请日:2023-07-03

    Abstract: System, process and device configurations are provided for analyzing video data, such as electronic game data, and generating scoring data for video data. Processes and device configurations include training a video data analysis model to generate scoring parameters, and for an evaluation tool for video data. Highly viewed and popular videos may be used as training input to the video analysis model. At least one score parameter may be determined for scoring videos. For electronic games, at least one score may be associated with a game scene, gameplay storylines, and for scoring video data in general. Analysis of game titles and game design may be performed during design to ensure that game scenes will have a high likelihood of user interest. Embodiments may also include modifying gameplay and gameplay storylines, and evaluating game promotional videos.

    Event driven sensor (EDS) tracking of light emitting diode (LED) array

    公开(公告)号:US11797082B2

    公开(公告)日:2023-10-24

    申请号:US17519177

    申请日:2021-11-04

    Inventor: Sergey Bashkirov

    CPC classification number: G06F3/012 G01S5/16 G06F3/0325

    Abstract: An event driven sensor (EDS) is used for simultaneous localization and mapping (SLAM) and in particular is used in conjunction with a constellation of light emitting diodes (LED) to simultaneously localize all LEDs and track EDS pose in space. The EDS may be stationary or moveable and can track moveable LED constellations as rigid bodies. Each individual LED is distinguished at a high rate using minimal computational resources (no image processing). Thus, instead of a camera and image processing, rapidly pulsing LEDs detected by the EDS are used for feature points such that EDS events are related to only one LED at a time.

    DOMAIN ADAPTATION FOR SIMULATED MOTOR BACKLASH

    公开(公告)号:US20220143820A1

    公开(公告)日:2022-05-12

    申请号:US17095586

    申请日:2020-11-11

    Abstract: A method, system and computer program product for training a control input system involve taking an integral of an output value from a Motion Decision Neural Network for one or more movable joints to generate an integrated output value and comparing the integrated output value to a backlash threshold. A subsequent output value is generated using a machine learning algorithm that includes a sensor value and a previous joint position if the integrated output value does not at least meet the threshold. A position of the one or more movable joints is simulated based on an integral of the subsequent output value; and the Motion Decision Neural Network is trained with the machine learning algorithm based upon at least a result of the simulation of the position of the one or more movable joints.

    Variable magnetic field-based position

    公开(公告)号:US11241614B2

    公开(公告)日:2022-02-08

    申请号:US16865303

    申请日:2020-05-02

    Abstract: To derive three dimensional (3D) position and orientation of a 3-axis (or more) magnetometer/accelerometer device (such as may be implemented in VR or AR headset or computer game controller) without line of sight constraints, a spinning magnetic field is used to discriminate and remove the external (Earth's) magnetic field from the spinning magnetic field. This reduces the problem to finding the distance to the source of the magnetic field using a calibration table (or formula), finding two angles describing the deviation of the magnetic sensor from the axis of rotation of the spinning magnetic field and the phase around this axis, and from these values deriving the orientation of the sensor.

    MOTION MATCHING FOR VR FULL BODY RECONSTRUCTION

    公开(公告)号:US20210405739A1

    公开(公告)日:2021-12-30

    申请号:US16913079

    申请日:2020-06-26

    Inventor: Sergey Bashkirov

    Abstract: Motion sensor assemblies are provided on the head and in both hands of a person to generate pose information. The pose information is used to enter a database of animations of whole skeleton bone poses that correlates signals from the three assemblies to whole body pose signals. The closest matching frame in the database and subsequent frames are used to provide a whole-body animation sequence based on the signals from the three motion sensor assemblies.

    Motion transfer of highly dimensional movements to lower dimensional robot movements

    公开(公告)号:US11104001B2

    公开(公告)日:2021-08-31

    申请号:US16352023

    申请日:2019-03-13

    Abstract: Techniques for transferring highly dimensional movements to lower dimensional robot movements are described. In an example, a reference motion of a target is used to train a non-linear approximator of a robot to learn how to perform the motion. The robot and the target are associated with a robot model and a target model, respectively. Features related to the positions of the robot joints are input to the non-linear approximator. During the training, a robot joint is simulated, which results in movement of this joint and different directions of a robot link connected thereto. The robot link is mapped to a link of the target model. The directions of the robot link are compared to the direction of the target link to learn the best movement of the robot joint. The training is repeated for the different links and for different phases of the reference motion.

    Motion Transfer of Highly Dimensional Movements to Lower Dimensional Robot Movements

    公开(公告)号:US20200290203A1

    公开(公告)日:2020-09-17

    申请号:US16352023

    申请日:2019-03-13

    Abstract: Techniques for transferring highly dimensional movements to lower dimensional robot movements are described. In an example, a reference motion of a target is used to train a non-linear approximator of a robot to learn how to perform the motion. The robot and the target are associated with a robot model and a target model, respectively. Features related to the positions of the robot joints are input to the non-linear approximator. During the training, a robot joint is simulated, which results in movement of this joint and different directions of a robot link connected thereto. The robot link is mapped to a link of the target model. The directions of the robot link are compared to the direction of the target link to learn the best movement of the robot joint. The training is repeated for the different links and for different phases of the reference motion.

    VARIABLE MAGNETIC FIELD-BASED POSITION
    40.
    发明申请

    公开(公告)号:US20190105558A1

    公开(公告)日:2019-04-11

    申请号:US16216204

    申请日:2018-12-11

    Abstract: To derive three dimensional (3D) position and orientation of a 3-axis (or more) magnetometer/accelerometer device (such as may be implemented in VR or AR headset or computer game controller) without line of sight constraints, a spinning magnetic field is used to discriminate and remove the external (Earth's) magnetic field from the spinning magnetic field. This reduces the problem to finding the distance to the source of the magnetic field using a calibration table (or formula), finding two angles describing the deviation of the magnetic sensor from the axis of rotation of the spinning magnetic field and the phase around this axis, and from these values deriving the orientation of the sensor.

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