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Bachelor Thesis from the year 2014 in the subject Computer Science - Applied, , language: English, abstract: The influence of vision is taking one-step ahead with the introduction of sophisti-cated eye-tracking and gaze-tracking techniques, which track the movement of the eye and the gaze location to control various applications. This paper describes in detail the low-cost hardware development and the software architecture for a real-time eye tracking based on color system using the open-source image-processing framework of AForge.NET. The designed system uses a USB camera to detect the eye movements and uses EuclideanColorFiltering to filter colors, and then it detects the biggest object between them and gets the location of that object. The system shows to the patient some question and answers according to the questions, he will look at one of the answers, then, it will be highlighted. By this way, the doctor will know what is wrong with the patient and what should be done to cure him. This provides a highly useful alternative control system for a person suffering from ALS or in Vegetative state of brain stroke. The software system is in Kurdish language and it is designed for the patient in a way to be relaxed and be as simple as possible. Test results on systems on the correct locations and error percentage shows the per-formance of the developed eye tracking system.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.