Exploring Eye Tracking Techniques On Smartphones
Eye tracking is a major field in medical sector, especially in psychiatry for giving an insight of the patients with mental disorders. Nowadays, the existence of mobile devices with powerful hardware can provide an opportunity to investigate if it is possible to track the eye using these devices without using any additional hardware. This thesis will try to explore the possibility of tracking the center of the pupil using mobile devices. To achieve that, the eye tracking algorithms of template matching and eye detection using image gradients, are implemented in these devices. The application was also implemented as a background service and as a stand-alone activity in order to investigate the performance and usability for these two methods. Both template matching and eye detection using image gradients algorithms show promising results in terms of performance and accuracy respectively.
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