Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis-Reference-Cited by-同舟云学术

Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Bera Asish¹^ORCID,Nasipuri Mita²^ORCID,Krejcar Ondrej³^ORCID,Bhattacharjee Debotosh²^ORCID

Affiliation:

1. Department of Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Rajasthan, Pilani, India

2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

3. Center for Basic and Applied Science, Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic

Funder

Faculty of Informatics and Management, University of Hradec Králové, Czech Republic, through the Specific student research (SPEV) Project “Smart Solutions in Ubiquitous Computing Environments,”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10177209.pdf?arnumber=10177209

Reference70 articles.

1. A View Independent Classification Framework for Yoga Postures

2. Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach;mallick;arXiv 1909 11023,2019

3. YogaTube: A Video Benchmark for Yoga Action Recognition

4. On the Classification of Kathakali Hand Gestures Using Support Vector Machines and Convolutional Neural Networks

5. Indian Classical Dance Classification on Manifold Using Jensen-Bregman LogDet Divergence

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