title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¶ÐµÑÑÐ¾Ð² ÐºÐ¸ÑÑÐµÐ¹ ÑÑÐº Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of hand gesture recognition algorithms using machine learning methods
Creators: name: Ð¥Ñ Ð¥Ð°Ð¾Ð¶Ð°Ð½Ñ
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: 2023
Subjects: ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾ÑÑÐ°ÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÑÐ°Ð½ÑÑÐµÑÐ½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¶ÐµÑÑÐ¾Ð²
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¶ÐµÑÑÐ¾Ð²
convolutional neural networks
residual neural networks
transfer learning
gesture modeling
gesture recognition

description: Ð¦ÐµÐ»Ñ ÐÐÐ : ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð° Ð½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¶ÐµÑÑÐ¾Ð² Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð½Ðµ Ð¼ÐµÐ½ÐµÐµ 95%. Ð ÑÑÐ¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¸Ð·ÑÑÐ°ÑÑÑÑ Ð¸Ð¼ÐµÑÑÐ¸ÐµÑÑ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÑÑÑÑÑ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¸ Ð¼Ð¾Ð´ÐµÐ»Ð¸. Ð¡Ð¾Ð·Ð´Ð°Ð½ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¶ÐµÑÑÐ¾Ð². ÐÑÐ±ÑÐ°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¸ ÑÑÐ¾ÑÐ½ÐµÐ½Ð° ÐµÐµ. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¾Ð±ÑÑÐ°ÑÑÐ°Ñ Ð²ÑÐ±Ð¾ÑÐºÐ°, Ð¾Ð±ÑÑÐµÐ½Ð° Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ°Ð»ÑÐ½ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ, ÑÐ´ÐµÐ»Ð°Ð½ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð², Ð¿Ð¾Ð´Ð²ÐµÐ´ÐµÐ½Ñ Ð¸ÑÐ¾Ð³Ð¸. ÐÐµÑÐ¾Ð´ Ð¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÐÐÐ : Ð­ÑÐ° ÑÐ°Ð±Ð¾ÑÐ° Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð° Ð½Ð° Ð¼ÐµÑÐ¾Ð´Ð°Ñ ÑÐ²ÐµÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸, Ð¾ÑÑÐ°ÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¸ ÑÑÐ°Ð½ÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð¡Ð½Ð°ÑÐ°Ð»Ð° Ð² ResNet50 Ð±ÑÐ»Ð¸ Ð²Ð½ÐµÑÐµÐ½Ñ Ð½ÐµÐºÐ¾ÑÐ¾ÑÑÐµ ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð²Ñ Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑÐ¼Ð¸ Ð·Ð°Ð´Ð°ÑÐ¸, Ð·Ð°ÑÐµÐ¼ Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¸ ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð¶ÐµÑÑÑ, Ð° Ð·Ð°ÑÐµÐ¼ Ð¾Ð±ÑÑÐµÐ½Ð° Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ, Ð¸ Ð² Ð¸ÑÐ¾Ð³Ðµ Ð±ÑÐ»Ð¾ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð½Ð¾ 9 Ð¶ÐµÑÑÐ¾Ð² Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð±Ð¾Ð»ÐµÐµ 95%. ÐÐ±Ð»Ð°ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÐÐÐ : ÐÑÐ¸Ð¼ÐµÐ½ÑÐµÑÑÑ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÑÐ¾Ð±Ð¾ÑÐ¾ÑÐµÑÐ½Ð¸ÐºÐ¸ (ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ´Ð°Ð»ÐµÐ½Ð½Ð¾Ð¹ ÑÐ¸Ð½ÑÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ), Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÐ°Ð»ÑÐ½Ð¾ÑÑÐ¸ (Ð¿ÑÐ¸Ð±Ð»Ð¸Ð¶ÐµÐ½Ð¸Ðµ Ð²Ð¸ÑÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÐ°Ð»ÑÐ½Ð¾ÑÑÐ¸ Ðº ÑÐµÐ°Ð»ÑÐ½Ð¾ÑÑÐ¸), Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð³Ð»ÑÑÐ¸Ð¼ Ð»ÑÐ´ÑÐ¼ Ð² Ð¿ÐµÑÐµÐºÐ»ÑÑÐµÐ½Ð¸Ð¸ ÑÐ·ÑÐºÐ° Ð¶ÐµÑÑÐ¾Ð², Ð¾Ð±Ð»Ð°ÑÑÐ¸ ÑÐ¼Ð½Ð¾Ð³Ð¾ Ð´Ð¾Ð¼Ð° (Ð¿ÐµÑÐµÐºÐ»ÑÑÐµÐ½Ð¸Ðµ ÐºÐ°Ð½Ð°Ð»Ð¾Ð² ÑÐ¼Ð°ÑÑ-ÑÐµÐ»ÐµÐ²Ð¸Ð·Ð¾ÑÐ¾Ð², Ð¿ÐµÑÐµÐ¼ÐµÑÐµÐ½Ð¸Ðµ ÑÐ¼Ð½ÑÑ Ð¸Ð½Ð²Ð°Ð»Ð¸Ð´Ð½ÑÑ ÐºÐ¾Ð»ÑÑÐ¾Ðº) Ð¸ ÑÐ°Ðº Ð´Ð°Ð»ÐµÐµ.
description: The purpose of the WRC: This work is aimed at developing gesture recognition algorithms with an accuracy of at least 95%. This work examines available relevant data and analyzes existing methods and models. A gesture model has been created. A neural network model was chosen and refined. A training sample has been developed, a neural network has been trained and tested. Experimental studies have been carried out, an analysis of the results has been made, and the results have been summed up. Method and results of WRC: This work is based on the methods of convolutional neural network, residual neural network and transfer learning. First, some adjustments were made in ResNet50 according to the requirements of the task, then the gestures were analyzed and modeled, and then the model was trained and tested, and as a result, 9 gestures were recognized with an accuracy of more than 95%. Scope of WRC results: Applied in the field of robotics (implementation of remote synchronous work), virtual reality (approximation of virtual reality to reality), helping deaf people to switch sign language, smart home (switching smart TV channels, moving smart wheelchairs) and etc.