Research Article | Volume 2 Issue 4 - 2025
Enabling Cursor Control through Eye Movement using Hidden Markov Model
G Tanusha*, P Havirbhavi and K Ashwini
Department of Computer Science and Engineering, Amrita School of Computing, Chennai, Amrita Vishwa Vidyapeetham, India
*Corresponding Author: G Tanusha, Department of Computer Science and Engineering, Amrita School of Computing, Chennai, Amrita Vishwa Vidyapeetham, India.
Abstract
First and foremost, we describe a new technique that uses eye movement to control the cursor. Certain solutions impose stringent constraints on individuals with motor impairments and depend on tangible objects such as mice or touchpads. Using eye-tracking technology, our method establishes a connection between human visual attention and computer interaction. We study the subtle gaze patterns that emerge, enabling both cursor control and the formation of an interaction context sense. Our approach converts gaze data into a cursor's movements. It is very adaptable and accurate. Because cursor motions are produced by the pattern of gaze movement, the interface is more dynamically accurate and behaviourally specific. The context- aware interface learns and adapts, maximizing efficiency through its adaptability. Furthermore, our study presents a novel strategy to provide an eye-controlled mouse system using software tools. This system accurately recognizes facial features and interprets eye movements through image processing techniques. The system enables intuitive cursor control by interpreting observable eye movements. Transforming eye motions into a cursor's actions enhances user accessibility and hands-free interaction; in other words, its performance is captured in the experimental analysis.
Keywords: Eye-controlled cursor interface; Visual tracking technology; Pattern analysis; Software tools; User accessibility; User-centric design; Adaptive systems
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Citation
G Tanusha., et al. “En abling Cursor Control through Eye Movement using Hidden Markov Model". Clareus Scien tific Science and Engineering 2.4 (2025): 41-51.
Copyright
© 2025 G Tanusha., et al. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attri bution (CC BY) license.