Root / CYBERNETICS AND PHYSICS / Volume 14, 2025, Number 4 / Enhancing user experience with hand gesture volume control: overcoming challenges of camera distance

Enhancing user experience with hand gesture volume control: overcoming challenges of camera distance

Shamil Ramadhan, Firas Yousif, Firas Hamid

Hand gestures are essential in human communication, and recent technological advancements aim to extend this natural interaction to human-computer interfaces. This paper introduces a real-time volume control system that enables users to adjust sound levels using hand gestures, eliminating the need for physical components. The system relies on a standard computer camera to detect and interpret finger patterns, using MediaPipe to identify hand landmarks and OpenCV in Python to analyze live video frames. By calculating the distance between fingers, the system adjusts the volume through pycaw, offering a full range from minimum to maximum. A key innovation is its ability to address two major challenges: first, compensating for varying hand-camera distances (ranging from 40 to 300 cm), and second, defining a specific pattern of fingers to ensure only intentional gestures affect volume control. This prevents unintended hand movements from interfering with system operation. The gesture recognition process is enhanced through a set of algorithms that refine detection and improve reliability. With an impressive accuracy of 97.3%, the proposed system demonstrates the potential of gesture-based control in real-time applications, offering a seamless and intuitive user experience. It represents a significant step toward more natural and efficient human-machine interaction.
CYBERNETICS AND PHYSICS, VOL. 14, NO. 4, 2025, 375–382
https://doi.org/10.35470/2226-4116-2025-14-4-375-382

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