Invention Grant
- Patent Title: Augmented cognition methods and apparatus for contemporaneous feedback in psychomotor learning
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Application No.: US16743337Application Date: 2020-01-15
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Publication No.: US11638853B2Publication Date: 2023-05-02
- Inventor: Shane Yang , Richard K. Williams
- Applicant: Shane Yang
- Assignee: Shane Yang
- Current Assignee: Shane Yang
- Agency: Patentability Associates
- Agent David E. Steuber
- Main IPC: A63B24/00
- IPC: A63B24/00 ; G09B5/06 ; G09B19/00 ; G09B5/12

Abstract:
A method of creating a scalable dynamic jointed skeleton (DJS) model for enhancing psychomotor leaning using augmented cognition methods realized by an artificial intelligence (AI) engine or image processor. The method involves extracting a DJS model from either live motion images of video files of an athlete, teacher, or expert to create a scalable reference model for using in training, whereby the AI engine extracts physical attributes of the subject including arm length, length, torso length as well as capturing successive movements of a motor skill such as swinging a gold club including position, stance, club position, swing velocity and acceleration, twisting, and more.
Public/Granted literature
- US20200222757A1 Augmented Cognition Methods And Apparatus For Contemporaneous Feedback In Psychomotor Learning Public/Granted day:2020-07-16
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