Human Pose Estimation Based Biomechanical Feature Extraction for Long Jumps-Reference-Cited by-同舟云学术

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Human Pose Estimation Based Biomechanical Feature Extraction for Long Jumps

Published:2024-07-08 Issue: Volume:21 Page:1-6
ISSN:
Container-title:2024 16th International Conference on Human System Interaction (HSI)
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Author:

Gan Qi¹,Nguyen Sao Mai²,El-Yacoubi Mounîm A.³,Fenaux Eric⁴,Clémençon Stéphan⁵

Affiliation:

1. Telécom Paris & IP Paris,LTCI,Palaiseau,France

2. FLOWERS team, U2IS ENSTA, IP Paris & Inria,Palaiseau,France

3. SAMOVAR Telécom SudParis, CNRS & IP Paris,Palaiseau,France

4. Ef-e-science Paris,France

5. LTCI Télécom Paris & IP Paris,Palaiseau,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10613508/10613523/10613530.pdf?arnumber=10613530

Reference29 articles.

1. AI Coach: Deep Human Pose Estimation and Analysis for Personalized Athletic Training Assistance

2. Analyzing sprint features with 2d human pose estimation;van der Meijden,2019

3. Biome-chanical report for the iaaf world championships london 2017: Long jump womens;Tucker;World Athletics, Tech. Rep.,2018

4. Biomechanical report for the iaaf world indoor championships 2018: Long jump women;Tucker;World Athletics, Tech. Rep.,2019

5. Biome-chanical report for the iaaf world championships london 2017: Long jump mens;Tucker;World Athletics, Tech. Rep.,2018

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