Audio Management: Enhancing Wireless Sound Control through Hand Gestures

Naimish; Sheenu Rizvi

doi:10.54060/jmss.v3i1.40

Authors

Nimesh Gupta Amity School of Engineering and Technology, Amity University Uttar Pradesh, LucknowCampus, India
Dr. Sheenu Rizvi Amity School of Engineering and Technology, Amity University Uttar Pradesh, LucknowCampus, India

DOI:

https://doi.org/10.54060/jmss.v3i1.40

Keywords:

Python, OpenCV, Gestures, Video Capture, Hand Detection, Gesture Recognition, Sound Control

Abstract

TThis research paper presents research conducted to control the sound level of the system using hand gestures. The proposed system is designed using Python programming language and OpenCV library. The development of programs that can be controlled using natural gestures is an important area of research in the field of human - computer interaction. The system captures the video feed from the camera and analyzes it to de-tect the hand gestures. The captured frames are preprocessed to remove noise and sim-plify processing. The image is then converted to grayscale, thresholded to separate the hand from the background, and contours are found in the thresholded image. The de-tected gestures are then mapped to control the sound level of the system. The proposed system is implemented and tested on a laptop computer with satisfactory results. The program is tested on a range of operating systems and environments to ensure com-patibility and functionality. To optimize for speed and efficiency, the program can be parallelized and/or implemented using GPU acceleration.

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