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ABSTRACT
Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human–computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking eye gaze. The proposed system attained an accuracy of 84% without requiring any costly equipment or infrared light like other commercial tools. Eye gaze fixations data of 37 participants were recorded on a webpage and gaze patterns were plotted using heat maps. Further, a case analysis was done to validate the performance of the proposed system, where the user interface has been controlled using eye movements.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Jaiteg Singh
Jaiteg Singh is PhD in Computer Science and Engineering with 17 years of experience in Research, Development, Training, Academics at Institutes of Higher Technical Education. Areas of expertise are Software Engineering, Business Intelligence, Data and opinion mining, Cartography, Curriculum design, Pedagogical Innovation & Management. Areas of interest include Sustainable software engineering, Education Technology, Offline navigation systems and cloud computing.
Nandini Modi
Nandini Modi has done an ME in Computer Science. She is a PhD Scholar at Chitkara University, India. Her research interests include human–computer interaction, Sentiment analysis, Machine learning and Consumer neuroscience.