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    Repetition counting and classification of movements systems and methods
    1.
    发明授权
    Repetition counting and classification of movements systems and methods 有权

    公开(公告)号：US11450010B2

    公开(公告)日：2022-09-20

    申请号：US17503295

    申请日：2021-10-16

    Applicant: NEX Team Inc.

    Inventor： On Loy Sung ,  Qi Zhang ,  Keng Fai Lee ,  Shing Fat Mak ,  Daniel Dejos ,  Man Hon Chan

    IPC: G06T7/246

    Abstract: Methods and systems for determining and classifying a number of repetitive motions in a video are described, and include the steps of first determining a plurality of images from a video, where the images are segmented from at least one video frame of the video. Next, performing a pose detection process on a feature of the images to generate one or more landmarks. Next, determining one or more principle component axes on points associated with a given landmark. Finally, determining at least one repetitive motion based on a pattern associated with a projection of the points onto the one or more principle components. In some embodiments, the disclosed methods can classify the repetitive motions to respective types. The present invention can be implemented for convenient use on a mobile computing device, such as a smartphone, for tracking exercises and similar repetitive motions.

    REPETITION COUNTING AND CLASSIFICATION OF MOVEMENTS SYSTEMS AND METHODS
    2.
    发明申请
    REPETITION COUNTING AND CLASSIFICATION OF MOVEMENTS SYSTEMS AND METHODS 有权

    公开(公告)号：US20220138966A1

    公开(公告)日：2022-05-05

    申请号：US17503295

    申请日：2021-10-16

    Applicant: NEX Team Inc.

    Inventor： On Loy Sung ,  Qi Zhang ,  Keng Fai Lee ,  Shing Fat Mak ,  Daniel Dejos ,  Man Hon Chan

    IPC: G06T7/246

    Abstract: Methods and systems for determining and classifying a number of repetitive motions in a video are described, and include the steps of first determining a plurality of images from a video, where the images are segmented from at least one video frame of the video. Next, performing a pose detection process on a feature of the images to generate one or more landmarks. Next, determining one or more principle component axes on points associated with a given landmark. Finally, determining at least one repetitive motion based on a pattern associated with a projection of the points onto the one or more principle components. In some embodiments, the disclosed methods can classify the repetitive motions to respective types. The present invention can be implemented for convenient use on a mobile computing device, such as a smartphone, for tracking exercises and similar repetitive motions.

    METHODS AND SYSTEMS FOR BALL GAME ANALYTICS WITH A MOBILE DEVICE
    4.
    发明申请
    METHODS AND SYSTEMS FOR BALL GAME ANALYTICS WITH A MOBILE DEVICE 审中-公开

    公开(公告)号：US20200057889A1

    公开(公告)日：2020-02-20

    申请号：US16664711

    申请日：2019-10-25

    Applicant: NEX Team Inc.

    Inventor： Keng Fai Lee ,  Tin Yin Lam ,  Wing Hung Chan ,  Qi Zhang ,  On Loy Sung ,  Man Hon Chan

    IPC: G06K9/00 ,  G06N20/00 ,  G06T7/11 ,  G06K9/46 ,  G11B27/00 ,  G06T7/20 ,  G06K9/62 ,  G06K9/32

    Abstract: Methods and systems for determining a ball shot attempt result, the ball shot attempt captured by a camera on a mobile computing device, are disclosed. The methods and systems perform steps comprising receiving an input video captured using the camera on the mobile computing device, wherein the input video comprises a ball shot attempt at a goal; receiving a declared ball shot attempt, the declared ball shot attempt detected by analyzing a ball trajectory in the input video; detecting an element movement associated with an element of the goal; and determining the ball shot attempt result based on the element movement and the ball trajectory. In some embodiments, the element of the goal is a net, and the declared ball shot attempt is detected by analyzing the ball trajectory in a ball shot attempt Region of Interest (ROI) within frames of the input video.

    Methods and systems for player location determination in gameplay with a mobile device
    6.
    发明授权
    Methods and systems for player location determination in gameplay with a mobile device 有权

    公开(公告)号：US10796448B2

    公开(公告)日：2020-10-06

    申请号：US16669472

    申请日：2019-10-30

    Applicant: NEX Team Inc.

    Inventor： Keng Fai Lee ,  Man Hon Chan ,  Wing Hung Chan ,  On Loy Sung

    IPC: A63B24/00 ,  G06T7/73 ,  G06T7/80 ,  G06T7/62 ,  G06T7/50

    Abstract: Methods and systems for detecting a player in a gaming environment using a mobile device are disclosed. The methods and systems perform the steps of receiving calibration data from a camera of a user device, the calibration data comprising a first reference point associated with the gaming environment, a second reference point associated with the gaming environment, and sensor data associated with the user device; computing a camera projection based on the first reference point, the second reference point, and the sensor data obtained from the user device; receiving an input video of the gaming environment, wherein the input video is captured using the camera, and wherein frames of the input video comprise at least one player in the gaming environment; identifying an image location of the player by performing a computer vision algorithm on the input video; and determining a real-world location of the player based on the image location and the camera projection.

    METHODS AND SYSTEMS FOR BALL GAME ANALYTICS WITH A MOBILE DEVICE
    7.
    发明申请
    METHODS AND SYSTEMS FOR BALL GAME ANALYTICS WITH A MOBILE DEVICE 审中-公开

    公开(公告)号：US20190087661A1

    公开(公告)日：2019-03-21

    申请号：US16109923

    申请日：2018-08-23

    Applicant: NEX Team, Inc.

    Inventor： Keng Fai Lee ,  Tin Yin Lam ,  Wing Hung Chan ,  Qi Zhang ,  On Loy Sung ,  Man Hon Chan

    IPC: G06K9/00 ,  G06N3/08 ,  G06T7/11 ,  G06F15/18 ,  G06K9/46

    Abstract: Methods and systems for ball shot attempt detection and game analytics generation are disclosed. The methods and systems perform steps to receive an input video of a ball gameplay, wherein the input video was captured using a stationary camera, and wherein frames of the input video comprises a goal; identify a Region of Interest (ROI) surrounding the goal by performing a first computer vision algorithm on the input video; detect a ball within the ROI during a shot attempt and determining a trajectory of the ball by performing a second computer vision algorithm on the input video; and identify a player relevant to the shot attempt based on the trajectory of the ball. In some embodiments, the computer vision algorithms comprise a convolution neural network (CNN). The present invention uses computer vision techniques to enable a resource-limited mobile device such as a smartphone to efficiently execute the new process.

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