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Eyes gaze detection based on multiprocess of ratio parameters for smart wheelchair menu selection in different screen size
Abstract:Smart wheelchairs support paralysis disability people, especially paralysis of the hands and feet. Paralysis disability cannot operate menu selection with a touch screen. This research proposes a menu selection to select features in a smart wheelchair using the eye’s gaze and execute the menu by blinking the left eye. Multiprocess of ratio parameter is the methodology used and expanded in this research. The proposed method compared the ratio between the midpoint on the iris contour and registered midpoint on the selection step. This research is conducted under two conditions: the screen size being started in 14 and 17 inches. This research resulted in 91.48% and 90.68% accuracy in 14 and 17-inch screens for users without glasses. Meanwhile, 89.55% and 86.99% were obtained for wearing glasses users. The experiments were conducted where the position of a user is 30–39, 40–49, and 50–59 cm from the camera.
Keywords:Eye gaze  Face detection  Facial landmark  Haar cascade  Midpoint  Threshold
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