• Chetana S Kedari
• Arati S Nayak
• Apeksha S Hudli
• Pruthvi Y Karasannavar

This research introduces a novel facial motion- controlled pointer device leveraging advanced computer vision techniques. Traditional input methods for human-computer interaction often lack naturalness and efficiency, prompting the exploration of intuitive interfaces. Our proposed system tracks multiple facial features including head movement, nose tip movement, eye ball movements, and eye winks, allowing users to interact seamlessly with digital interfaces. Through a robust combination of machine learning algorithms and real-time image processing, our system accurately interprets subtle facial gestures, translating them into precise cursor movements. We present the design architecture, implementation details, and evaluation results demonstrating the effectiveness and usability of the proposed system. The potential applications span various domains including accessibility technologies. This research contributes to the advancement of human-computer interaction paradigms, offering a more natural and immersive computing experience.

Facial motion,pointer device,computer vision,eye winks,user interaction,head

"Facial motion controlled pointer device using computer vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.f712-f716, March-2024, Available :http://www.jetir.org/papers/JETIR2403586.pdf

"Facial motion controlled pointer device using computer vision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppf712-f716, March-2024, Available at : http://www.jetir.org/papers/JETIR2403586.pdf