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A model-based method with geometric solutions for gaze correction in eye-tracking

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Special Issues: Advanced Computer Methods and Programs in Biomedicine

The eyeball distortions caused by eye diseases, such as myopia and strabismus, can lead to the deviations of eye-tracking data. In this paper, a model-based method with geometric solutions is proposed for gaze correction. The deviations of estimated gaze points are geometrically analyzed based on the individual eyeball models with considerations of the distortions caused by myopia and strabismus. A set of integrated geometric solutions is derived from the varied situations including the case of strabismus and the case of myopia and strabismus, and then used for gaze correction in eyetracking. The experimental results demonstrate that this model-based method is effective to reduce deviations in estimated gaze points, and can be used to correct the modeling error in eye-tracking. Moreover, the proposed method has the potential to provide a simple approach to correct the eyetracking data for various populations with eye diseases.
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Keywords gaze points; correction; eye tracking; eye-ball model; myopia and strabismus

Citation: Xiujuan Zheng, Zhanheng Li, Xinyi Chun, Xiaomei Yang, Kai Liu. A model-based method with geometric solutions for gaze correction in eye-tracking. Mathematical Biosciences and Engineering, 2020, 17(2): 1396-1412. doi: 10.3934/mbe.2020071


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