A Survey on Yogic Posture Recognition

Author:

Rajendran Arun Kumar1ORCID,Sethuraman Sibi Chakkaravarthy1ORCID

Affiliation:

1. Center of Excellence, Artificial Intelligence and Robotics (AIR), Vellore Institute of Technology-Andhra Pradesh (VIT-AP), Amaravathi, India

Funder

VIT-AP University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference188 articles.

1. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

2. RMPE: Regional Multi-person Pose Estimation

3. Rethinking on multi-stage networks for human pose estimation;li;arXiv 1901 00148,2019

4. Towards multi-person pose tracking: Bottom-up and top-down methods;jin;Proc ICCV PoseTrack Workshop,2017

5. Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection

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1. Survey on Yogic Posture Recognition using Deep Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-04-22

2. Advanced Yoga Pose Estimation: Enhancing PoseNet with Adaptive Key Point Elimination;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

3. DensePoseCompare: A Comparative Study of DenseNet Models in Yoga Pose Classification;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

4. Artificial Intelligence for Computer Vision: Bibliometric Analysis;2024-03-18

5. Yoga Pose Recognition Using Deep Learning;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

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