An Algorithm of Recognition Uzbek Sign Language
This article highlights an algorithm for recognizing the dactyl alphabet of Uzbek Sign Language using the YOLO architecture, based on deep convolutional neural networks. For training the model, developed a dataset that consist of images which representing of signs of Uzbek sign language. Metrics such as precision, recall, and average nrecision were used to evaluate the model's nerformance.
Authors
- Mukhriddin Umarov (ORCID: https://orcid.org/0000-0002-3731-1326)
- Elmurod Urinov (ORCID: https://orcid.org/0000-0002-4138-531X)
- Bekzod Turgunov
- Farrukh Akhmedov
Institutions
- Tashkent University of Information Technology (UZ)
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/icisct64202.2024.10956783
- Primary Topic
- Economic and Industrial Development
- Type
- article
- Field-Weighted Citation Impact
- 0.00