Hand Gesture Recognition and Volume Control
R. Tamilkodi, Namala Madhuri, G. Dhanushkumar, G. Dileepkumar, G. Rajkumar, Y. Sandeep · Advances in computer science research · 2024
The technology of identifying movements in real-time video is called "motion recognition".These actions are classified according to the properties they represent.Creating awareness of movements is a difficult task because it overcomes two major challenges.The first challenge was to enable control of movement, allowing users to effectively interact with computers or other devices using only one hand.This technology has many applications, especially in human-computer interaction and linguistic tasks.Simple techniques such as hand classification and measurement using Haar cascade classifiers in Python and OpenCV can be used to generate gesture recognition.This article focuses on gesture recognition as a qualitative analysis.This setup includes a camera that captures the user's movements, which are then processed by the system.The main purpose of gesture recognition is to develop awareness and use human movements to control devices and communicate.Live gesture recognition allows users to work with the front camera on their computers, providing greater interaction and understanding with the technology.We will create an orientation with the help of the OpenCV module which can control the system with gestures without using a keyboard or mouse.