Аналіз особливостей української жестової мови під час розроблення програмного застосунку

Abstract

This work is devoted to the development of an application for real-time recognition of Ukrainian Sign Language using machine learning and computer vision. Its goal is to make communication more accessible for people with hearing impairments. The app uses the smartphone camera to translate gestures into text or sound, helping in everyday situations. Deep neural networks take into account not only gestures, but also facial expressions and body position to improve recognition accuracy. Among the main challenges are different lighting conditions, variability in gestures, and the need to expand the database. Ultimately, the project aims to improve the social integration of people with hearing impairment in Ukraine.