Real Time Eye Blink Recognition for Virtual Mouse Using Raspberry Pi

This research addresses the challenge of providing an affordable, accessible, and reliable computer control method for individuals with physical disabilities. It develops a real-time eye blink recognition system using Raspberry Pi to control a virtual mouse, offering hands-free interaction. The system optimizes blink detection accuracy, reduces latency, and ensures intuitive user experiences through rigorous testing in diverse environmental conditions. Results confirm the system's reliability, achieving 70-80% accuracy while significantly lowering costs compared to existing solutions. This research demonstrates the practical application of low-cost hardware in enhancing Human-Computer Interaction (HCI) for assistive technology, gaming, and virtual reality.