Development of Real-Time Hand Gesture for Volume Control Application using Python on Raspberry Pi

Abstract

Computer interaction is one of the significant challenges that elderly and disabled people face in today's computerized world. In recent years, hand gesture recognition has emerged as one of the most natural human-machine interactions in software development, particularly for facilitating friendly and flexible human-computer interaction. This article proposed a system architecture and software configuration for developing a real-time volume control hand gesture on a Raspberry Pi equipped with a camera programmed in Python using the Open-Source Computer Vision (OpenCV) library. The hand gesture recognition system's primary objective is to establish communication between humans and computerized systems in order to control volume. According to the experimental results, the hand gesture recognition system performs well when controlling volume. The system is capable of operating in real-time for any individual.