title: Ð¡Ð¸ÑÑÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¶ÐµÑÑÐ¾Ð² Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð¿ÑÐµÐ·ÐµÐ½ÑÐ°ÑÐ¸Ð¹
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: Gesture recognition system for presentations
Creators: name: ÐÐ°Ð³Ð¾ÑÐ¾Ð´Ð½Ð¸Ð¹, ÐÐµÐ¾ÑÐ³Ð¸Ð¹
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: 2021
Subjects: ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÑÐµÐºÐ¸Ð½Ð³ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¶ÐµÑÑÐ°Ð¼Ð¸
Ð¸Ð½ÑÐµÑÐ°ÐºÑÐ¸Ð²Ð½Ð°Ñ Ð¿ÑÐµÐ·ÐµÐ½ÑÐ°ÑÐ¸Ñ
convolutional neural networks
image recognition
object tracking
gesture control
interactive presentation

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description: In this paper, a review and comparative analysis of modern approaches for tracking human hand gestures in real time on a camera image using neural networks was carried out. The process of collecting your own dataset and its augmentation for training a convolutional neural network, as well as the learning process itself, is demonstrated. Based on the obtained models, an application was developed for interactive presentations with the ability to switch slides and highlight the desired areas using hand gestures. The application also has a drawing mode with the ability to change the brush color, as well as change the scale and position of the virtual canvas. Comparison of the obtained models is made for the complexity of training, speed of work (number of frames per second), ease of use and computing power required for their work.