The use of AI in Human Pose Estimation Applications in Kinesiology: Taxonomy of Algorithms, Models, and Evaluation Methods-Reference-Cited by-同舟云学术

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The use of AI in Human Pose Estimation Applications in Kinesiology: Taxonomy of Algorithms, Models, and Evaluation Methods

Published:2024-05-20 Issue: Volume:7, 3 Page:1163-1166
ISSN:
Container-title:2024 47th MIPRO ICT and Electronics Convention (MIPRO)
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Author:

Katović D.¹,Bronzin T.²,Horvat M.³,Prole B.²,Stipić A.¹,Jelača N.⁴,Pavlović I.⁴,Pap K.⁴

Affiliation:

1. University of Zagreb,Faculty of Kinesiology,Zagreb,Croatia

2. CITUS,Zagreb,Croatia

3. University of Zagreb,Faculty of Electrical Engineering and Computing,Department of Applied Computing,Zagreb,Croatia

4. University of Zagreb,Faculty of Graphic Arts,Zagreb,Croatia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569139/10569147/10569385.pdf?arnumber=10569385

Reference17 articles.

1. Accuracy Detection in Some Sports Training Using Computer Vision and Deep Learning Techniques

2. Deep Learning-based Human Pose Estimation: A Survey

3. Applications of Pose Estimation in Human Health and Performance across the Lifespan

4. A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise

5. Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation

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