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User Ranking by Monitoring Eye Gaze Using Eye Tracker

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

Image and video processing has been an intensive field of research for last two decades. Human Computer Interaction is one of the important domains that come under image and vision processing. This paper contains conversion of text into text-image format (words with its pixel position), this conversion is used to calculate efficiency of a user by calculating user ranking based on correct answer lines recorded by eye gaze tracker (mounted on user’s eye). After reading of text, questions are asked to user, time is measured to find the answer lines for given questions (page time \( T_{1} \)). Score is inversely proportional to time taken by the user to reach on answer line. Finally, the user gets score and rank among the existing users on the basis of time.

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References

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Correspondence to Dhananjay Yadav .

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© 2014 Springer India

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Singh, C., Yadav, D. (2014). User Ranking by Monitoring Eye Gaze Using Eye Tracker. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_21

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_21

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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