Revolutionizing Mouse Cursor Control for Enhanced User Interaction

This research explores the innovative integration of eye and mouth-based interactions in Human-Computer Interaction (HCI) to enhance user engagement and system responsiveness. Leveraging advanced technologies such as eye-tracking and lip detection, our study focuses on developing a multimodal interface that interprets users' gaze and lip movements for intuitive and efficient interaction with digital systems. The eye-tracking component of the device allows for precise tracing of users' visual focus, facilitating natural cursor control and attention-based interactions. Concurrently, the lips detection system captures nuanced lip movements, expanding the input modalities to include non-verbal cues, gestures, and expressions. The integration of eye and mouth-based interactions introduces a dynamic and expressive dimension to HCI, catering to users with diverse abilities and preferences. Through a series of experiments and usability evaluations, we assess the system's effectiveness in tasks ranging from navigation to expressive communication. The findings showcase the potential for a more inclusive and adaptive HCI paradigm, where users can seamlessly navigate digital environments using a combination of eye gaze and facial expressions. This study adds to the growing landscape of HCI by proving the feasibility and benefits of adding eye and mouth-based interactions, paving the path for more natural and personalized human-computer interaction.