IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE

Lazizkhon Farkhadovich Nasirov; Farkhod Odilovich Nosirov; Madina Valisherovna Nosirova

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

How to Cite

Lazizkhon Farkhadovich Nasirov, Farkhod Odilovich Nosirov, & Madina Valisherovna Nosirova. (2024). IDENTIFY UZBEK GESTURES USING ARTIFICIAL INTELLIGENCE. Web of Technology: Multidimensional Research Journal, 2(10), 82–85. Retrieved from https://webofjournals.com/index.php/4/article/view/2019