The accuracy and computational efficiency of the proposed technique is demonstrated by experiments with human subjects. The technique is novel as sclera regions are often ignored in eye tracking literature while we have demonstrated that they can be easily extracted from images captured by low-cost camera and are useful in determining the gaze pattern. The gaze pattern is then determined based on areas of different sclera and iris regions and distances between tracked points along the irises. The sclera and iris regions in the video frame are first extracted by using an adaptive thresholding technique.
Prashanth leaves behind his wife Savitha, 2 kids (ages 10. In this dissertation, we investigate the possibility of using sclera and iris regions captured in a webcam sequence to estimate gaze pattern. Our Colleague, Prashanth Rao, fell victim to COVID-19 and unexpectedly passed away at a young age. Gaze pattern can be identified using different methods but most of them require the use of specialized equipments which can be prohibitively expensive for some applications. Gaze tracking has been widely used in a variety of applications from tracking consumers gaze fixation on advertisements, controlling human-computer devices, to understanding behaviors of patients with various types of visual and/or neurological disorders such as autism. Prashanth Sadashiva Rao, MD Overview Education & Training Specialties & Hospital Affiliations Health Insurance and Affiliations Raos Office Information.
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