Method for using dynamic trajectory analysis system for exerciser
AssigneeKeep Tossing Lab Inc.
InventorsYi Cheng TSAO, Chung Chun KUAN
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AssigneeKeep Tossing Lab Inc.
InventorsYi Cheng TSAO, Chung Chun KUAN
Estimating the term…
The method for using a dynamic trajectory analysis system for an exerciser uses technologies such as computer vision, edge artificial intelligence (AI), machine learning, and human factors engineering, in conjunction with a smart mobile communication device to perform the following: automatically capturing and recording images of posture of the exerciser during the exercise process; and further analyzing a sport event, sport behavior, and sport equipment in the images, and then obtaining a key information for providing assistance in optimizing the exercise process. The method uses edge AI models to achieve real-time prediction of objective physical performance of objects such as a human body, sport equipment, and a ball in a real environment. A prediction result is presented in a data format and visualized manner, providing a user with a real-time feedback and analysis information.
A method for using a dynamic trajectory analysis system for an exerciser, wherein after an image capturing module of a smart mobile communication device is activated, the smart mobile communication device performs image recording on a physical body of the exerciser to obtain dynamic image data, and performs real-time edge computing, comprising:
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