Gesture based Volume Controlling System using Hand Gesture
Sagnik Gope1, Snigdhadip Bandyopadyay2, Abhik Deb3, Ayshik Das4, Mahmuda Sultana5, Suman Bhattacharya6
1Student, Department of Computer Science & Engineering, Guru Nanak Institute of Technology 2Student, Department of Computer Science & Engineering, Guru Nanak Institute of Technology 3Student, Department of Computer Science & Engineering, Guru Nanak Institute of Technology 4Student, Department of Computer Science & Engineering, Guru Nanak Institute of Technology
5Associate Professor, Department of Computer Science & Engineering, Guru Nanak Institute of Technology
6Associate Professor, Department of Computer Science & Engineering, Guru Nanak Institute of Technology
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Abstract - Controlling system volume is a frequent task in multimedia applications, but traditional methods can be inconvenient and disruptive. This paper proposes a novel method for system volume control using hand gestures captured by a computer's built-in camera. The system leverages image processing techniques and machine learning algorithms to detect and recognize specific hand gestures, which are then mapped to volume control commands. Unlike voice recognition-based systems, this method operates without speech input, making it suitable for quiet environments or users with speech difficulties. The proposed system is robust to background noise and provides an intuitive control mechanism, allowing users to adjust volume without touching a keyboard or mouse. Experimental results demonstrate the system's accuracy, usability, and real-time performance, making it suitable for various smart devices. The paper provides a literature survey, describes the proposed model, presents the experimental setup, analyzes the results, discusses limitations and future directions, and concludes by highlighting the significance of the proposed system.
Keywords: Volume controller; Hand gesture detection; Webcam; Machine learning algorithms; User-friendly system.
