The proposed system can control the media player from a distance using hand gestures. OpenCV is used to collect raw images and convert them to black and white images for dataset creation.

Oct 24, 2021 · A media player that can be operated with hand gestures was developed by Nagalapuram et al. in 2021 using convolutional neural networks (CNN). Deep learning …

Given the pervasiveness of gestures in human interaction, they have great potential as a natural interface for computers. This paper describes the development of a low-cost, vision-based …

In this paper, author aims to understand hand gestures using six different machine learning methods on hand gesture data from the UCI2019 EMG dataset obtained from myo Thalmic …

An automated media player using hand gestures offers a more accessible and convenient way to control media playback, without the need for physical contact with shared input devices, …

In this project, with the help of computer vision and deep learning techniques, user hand movements (gestures) are used in real-time to control the media player. In this project, seven …

Jun 13, 2023 · The document describes an automated media player system that uses hand gestures for control. It uses machine learning algorithms and computer vision techniques to …

In this design procedure, using libraries like PyAutoGUI, OpenCV, and MediaPipe, we can control the media player by hand gestures in real-time. The MediaPipe library has in-built solutions for …

This project is a hand gesture controlled media player that allows users to control media playback using hand gestures. It utilizes computer vision and machine learning techniques to recognize …

This project implements computer vision and gesture recognition techniques and develops a vision based low-cost input software for controlling the media player through gestures.