Traditional computer systems depend heavily on physical input devices such as a mouse and keyboard for interaction. While these devices are effective, they have several limitations including hardware dependency, wear and tear, hygiene issues in shared environments, and limited accessibility for physically challenged users. This project presents a Hand Gesture Controlled System that enables users to interact with computers using hand movements captured through a webcam. The system uses Computer Vision and Machine Learning algorithms to detect, track, and interpret hand gestures in real-time. By recognizing specific gestures, the system can perform actions such as cursor movement, clicking, scrolling, and volume control without any physical contact. The proposed system provides a touchless, cost-effective, and user-friendly alternative to traditional input devices. It is especially useful in smart environments, public systems, medical facilities, and situations where maintaining hygiene is essential. This technology enhances accessibility and represents a step forward in Human-Computer Interaction (HCI).
Thosar et al. (Tue,) studied this question.