IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE

Authors

  • Lazizkhon Farkhadovich Nasirov Department of Justice of Tashkent City, Chief Consultant, Uzbekistan
  • Farkhod Odilovich Nosirov Chief Accountant of ZTE Joint Venture
  • Madina Valisherovna Nosirova Director of Namangan Innovation Service LLC

Keywords:

Artificial Intelligence, Uzbek Sign Language, Machine Learning, Convolutional Neural Networks, RNN, LSTM.

Abstract

The article discusses Uzbek gesture recognition using artificial intelligence (AI) technology. It is aimed at analyzing existing methods in AI and developing effective solutions to improve communication among hearing-impaired people.

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Published

2024-10-31

Issue

Vol. 2 No. 10 (2024): WOT

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE. (2024). Web of Technology: Multidimensional Research Journal, 2(10), 82-85. https://webofjournals.com/index.php/4/article/view/2019