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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Sports Training Action Detection |
| Authors Name: | Mohd Ahsan Ansari , Mohammad Samad Alam Ansari |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197293
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| Published Paper Id: | IJNRD2305806 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | CNN, MediaPipe, OpenCV, Numpy, Panda |
| Cite Article: | "Sports Training Action Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i37-i48, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305806.pdf |
| Downloads: | 000118761 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305806 Registration ID: 197293 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: i37-i48 Country: Barabanki , Uttar Pradesh , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305806 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305806 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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