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A review on hand sign recognition techniques using deep learning.
- Source :
- AIP Conference Proceedings; 2024, Vol. 3107 Issue 1, p1-8, 8p
- Publication Year :
- 2024
-
Abstract
- This paper reviewed the Hand Sign Recognition system from 2018 to 2022. Based on the review, much research is done on Deep learning-based hand sign recognition. Many of these studies are published annually in article, journals, and conference proceedings. Additionally, we also examined the performance of the HGR system in terms of recognition accuracy. In this paper we concentrate on the data environment, the data acquisition, and the hand gesture presentation— three crucial components of the vision-based HGR system. We also looked at how well the vision-based HGR system performed regarding recognition accuracy. [ABSTRACT FROM AUTHOR]
- Subjects :
- DEEP learning
RECOGNITION (Psychology)
ACQUISITION of data
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 3107
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 176993916
- Full Text :
- https://doi.org/10.1063/5.0211345