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ISSN 2063-5346
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VOLUME CONTROLLED BY HAND GESTURE RECOGNITION.

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Anukriti Rajput1*,Uttkarsh Sharma2, Ashok Kumar3
» doi: 10.48047/ecb/2023.12.si5a.376

Abstract

In this paper we discuss the significance of gesture control in technological advancements for people with visual impairment. It highlights the use of computer vision and the main objective of the project, which is to control computer settings using hand gestures. The project focuses specifically on need of people with certain disability and here volume control using hand gestures and incorporates the use of OpenCV. The module utilizes a computer's webcam to capture images or videos, processes them to extract necessary information, and performs volume adjustments based on the input gestures. The program allows users to increase or decrease the volume without the need for physical touch or input devices like the mouse or keyboard. The module performs gesture recognition using OpenCV and Python, identifying specific human gestures to carry out the desired changes in device settings. By intercepting the video input and analyzing the gestures within a defined range, the module effectively changes the computer's volume.

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