Paper Title

Sports Training Action Detection

Article Identifiers

Registration ID: IJNRD_197293

Published ID: IJNRD2305806

DOI: Click Here to Get

Authors

Mohd Ahsan Ansari , Mohammad Samad Alam Ansari

Keywords

CNN, MediaPipe, OpenCV, Numpy, Panda

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.

How To Cite

"Sports Training Action Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i37-i48, May-2023, Available :https://ijnrd.org/papers/IJNRD2305806.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : i37-i48

Other Publication Details

Paper Reg. ID: IJNRD_197293

Published Paper Id: IJNRD2305806

Downloads: 000121105

Research Area: Computer Engineering 

Country: Barabanki , Uttar Pradesh , India

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

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305806

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 8

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