title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¶ÐµÑÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð´Ð»Ñ Ð³Ð»ÑÑ Ð¾Ð½ÐµÐ¼ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Use of computer vision to classify sign language for the deaf and dumb
Creators: name: Ð Ð°Ð±Ð¸Ð½Ð¾Ð²Ð¸Ñ, ÐÐ°ÐºÑÐ¸Ð¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð¶ÐµÑÑÐ¾Ð²ÑÐ¹ ÑÐ·ÑÐº
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¶ÐµÑÑÐ¾Ð²
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
computer vision
sign language
gesture classification
machine learning
image processing

description: ÐÑÐ½Ð¾Ð²Ð½Ð°Ñ ÑÐµÐ»Ñ: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¶ÐµÑÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ° Ð´Ð»Ñ Ð³Ð»ÑÑÐ¾Ð½ÐµÐ¼ÑÑ. ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ ÑÑÐ¾Ð¹ ÑÐµÐ»Ð¸ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ Ð²ÑÐ¿Ð¾Ð»Ð½Ð¸ÑÑ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: 1) ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¾ÑÐ½Ð¾Ð² ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð¸ Ð¶ÐµÑÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°: Ð¾Ð·Ð½Ð°ÐºÐ¾Ð¼Ð»ÐµÐ½Ð¸Ðµ Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐ¼Ð¸ ÐºÐ¾Ð½ÑÐµÐ¿ÑÐ¸ÑÐ¼Ð¸ Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°Ð¼Ð¸ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ. 2) ÐÐ±Ð·Ð¾Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¶ÐµÑÑÐ¾Ð²: Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÑ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¶ÐµÑÑÐ¾Ð². 3) ÐÑÐ¾ÑÐ¸ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ Ð¿Ð¾Ð´Ð³Ð¾ÑÐ¾Ð²ÐºÐ° Ð´Ð°Ð½Ð½ÑÑ: Ð²ÑÐ¾ÑÐ¸ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ, Ð²ÐºÐ»ÑÑÐ°ÑÑÐ¸Ñ Ð¶ÐµÑÑÑ Ð¶ÐµÑÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°. 4) ÐÑÐ±Ð¾Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ: ÐÑÐ±Ð¾Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´ÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ. ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¶ÐµÑÑÐ¾Ð². 5) Ð¢ÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸: Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ ÑÐµÑÑÐ¾Ð² Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¾Ð±Ð»Ð°ÑÑÐµÐ¹ Ð´Ð»Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ.
description: Main goal: Using a computer vision model to classify sign language for deaf people. To achieve this goal, the following tasks must be completed: 1) Study and analysis of the theoretical foundations of computer vision and sign language: introduction to the basic concepts and approaches in the field of computer vision. 2) Review of existing technologies and methods for gesture classification: analysis of current methods and algorithms used for gesture recognition and classification. 3) Secondary analysis and data preparation: Secondary analysis of data involving sign language gestures. 4) Selecting a computer vision model: Selecting suitable machine learning and computer vision algorithms. Programming and setting up a model for recognizing and classifying gestures. 5) Model testing: conducting tests to evaluate the accuracy of the model. Analyze results and identify areas for improvement.