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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Non-rigid eye movement tracking and eye state quantification

Mat Ibrahim, Masrullizam and Soraghan, John and Petropoulakis, Lykourgos (2012) Non-rigid eye movement tracking and eye state quantification. In: 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, pp. 280-283. ISBN 9781457721915

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Tracking and quantifying the eye's state in real-time whilst also accounting for object size variation is crucial in computer vision systems for Human Computer Interaction (HCI) applications and fatigue detection techniques. This paper presents a novel approach to track and quantify the eye states using the Mean Shift tracking algorithm enhanced by an adaptive scale. The iris is used as a target model for Mean Shift tracking and the moment features are used to estimate the iris area in order to quantify the state of the eye. The proposed approach to tracking non-rigid eye movement and to providing eye state quantification is shown to produce very accurate results.