Sports Training Action Detection

Registration ID: IJNRD_197293

Published ID: IJNRD2305806

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Mohd Ahsan Ansari, Mohammad Samad Alam Ansari

CNN, MediaPipe, OpenCV, Numpy, Panda

This application allows to train a person for various exercises and give live feedback on the screen with a beep sound. And how it does that? the answer is that it detects the coordinates of the body joints using a wonderful machine learning algorithm called MediaPipe. This algorithm is created and maintained by Google; it detects total 33 landmark on human body from head to toe. This application then takes the coordinates and evaluates the vector geometry of the pose through the exercises, giving the user helpful feedback in real-time. This allows the user to identify any potential problems with their pose and to quickly make adjustments to ensure the accuracy of their form. The feedback provided by this application helps the user to improve their technique and to avoid any potential injuries that could be caused by incorrect form. By evaluating the vector geometry of the pose, the application is able to provide valuable insights that can be used to help the user achieve their fitness goals. Pose estimation is a type of method in which spatial locations or parts of key body joints is calculated using the live camera of the device with a good camera quality so that all the body joints are visible clearly. This computer vision technique is very uniquely detecting human body posture in live picture form and shows the keypoints of the body like elbow, hip, knee as output to the device in live time which is a lot better than uploading image or video. The output created by the algorithm is create by comparing the difference between the user joints angle input and the fixed angle saved in the database.

Published Paper   E-Certificate

Mohd Ahsan Ansari & Mohammad Samad Alam Ansari (May-2023). Sports Training Action Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i37-i48. https://ijnrd.org/papers/IJNRD2305806.pdf

Volume 8 Issue 5, May-2023

Pages : i37-i48

Paper Reg. ID: IJNRD_197293

Published Paper Id: IJNRD2305806

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Barabanki , Uttar Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305806.pdf

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