Real-Time Hand Motion Recognition: A Robust Low-Cost Approach

This study presents a robust, low-cost hand motion recognition approach designed to run on low-end computer systems. Our method detects and tracks region using real-time images obtained from low-resolution camera (i.e. webcam) is not depended any training or calibration required special apparatus selectors. The proposed system involves several image processing techniques such as background subtraction, face detection, skin colour detection template matching. experimental results show promising performance under various conditions. has wide range of applications where more natural ways interaction required, virtual reality applications, assistive technologies simulation.