Olympic Weightlifters' Performance Assessment Module Using Computer Vision-Reference-Cited by-同舟云学术

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Olympic Weightlifters' Performance Assessment Module Using Computer Vision

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Workshop on Sport, Technology and Research (STAR)
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Author:

Rethinam Pragathi¹,Manoharan Saravanan¹,Kirupakaran Anish Monsley¹,Srinivasan Ranganathan²,Hegde Ravi Sadananda³,Srinivasan Babji¹

Affiliation:

1. Indian Institute of Technology Madras,Department of Applied Mechanics,Chennai,India

2. Indian Institute of Technology Madras,Department of Chemical Engineering,Chennai,India

3. Indian Institute of Technology,Department of Electrical Engineering,Gandhinagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10302453/10302437/10302649.pdf?arnumber=10302649

Reference22 articles.

1. Validation of video analysis of marker-less barbell auto-tracking in weightlifting

2. Objectively Measure Player Performance on Olympic Weightlifting

3. Enhancing Digital Video Analysis of Bar Kinematics in Weightlifting: A Case Study

4. Openpose: Realtime multi-person 2d pose estimation using partaffinity fields;cao;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

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