A Novel Fingertip Detection Algorithm for Mobile User Interfaces
Since mobile devices have become an essential part of daily life, mobile users tend to demand more specific and efficient mobile User Interfaces (UIs) for interaction. Even though various types of input devices and techniques have been developed, such as keypads, styluses, and touch screens, they are not capable of providing perfect interaction. A novel algorithm for finger-gesture-based mobile User Interfaces (UIs) is presented. The proposed algorithm adopts edge detection for fingertip detection, which is robust to changes in lighting conditions for mobile UIs based on finger gestures. The proposed algorithm has low complexity, and can easily cope with real-time processing using rear-facing cameras in mobile phones. Experimental results demonstrate that the proposed algorithm has better correct-detection probability than the conventional algorithm in various environments.