Real-time yoga pose classification with 3-D pose estimation model with LSTM-Reference-Cited by-同舟云学术

Real-time yoga pose classification with 3-D pose estimation model with LSTM

Published:2023-09-25 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Srivastava Ratnesh Prasad,Umrao Lokendra Singh^ORCID,Yadav Ramjeet Singh

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17036-8.pdf

Reference26 articles.

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2. Greff K, Srivastava RK, Koutník J, Steunebrink BR, Schmidhuber J (2016) LSTM: A search space odyssey. IEEE transactions on neural networks and learning systems 28(10):2222–2232

3. Luštrek M, Boštjan K (2009) Fall detection and activity recognition with machine learning. Informatica 33:205–212

4. Ma CY, Chen MH, Kira Z, AlRegib G (2019) TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. Signal Processing: Image Communication 71:76–87

5. Nagalakshmi VDPP (2021) The Analysis of the Impact of Yoga on Healthcare and Conventional Strategies for Human Pose Recognition. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12(6):1772–1783

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