Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Retraction Note to: A Vision-Based Sign Language Recognition using Statistical and Spatio-Temporal Features

Authors
Prashant Rawat1, *, Lalit Kane1
1School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
*Corresponding author. Email: 500065497@stu.upes.ac.in
Corresponding Author
Prashant Rawat
Available Online 20 September 2024.
DOI
10.2991/978-94-6463-196-8_56How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
20 September 2024
ISBN
978-94-6463-196-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_56How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Prashant Rawat
AU  - Lalit Kane
PY  - 2024
DA  - 2024/09/20
TI  - Retraction Note to: A Vision-Based Sign Language Recognition using Statistical and Spatio-Temporal Features
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - C2
EP  - C2
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_56
DO  - 10.2991/978-94-6463-196-8_56
ID  - Rawat2024
ER  -