Abstract
There have been diverse attempts to analyze user preference in terms of gaze behavior on specific object from various viewpoint in the fields of HCI, eye tracking area, image processing technology, etc. However, it is not easy to get clear about what user looks at instead of where user watches so far. Because there are issues such as object representation method in multimedia content, eye tracking error compensation and analysis method, efficient data profiling method in a situation that both user and image data keep being increased. Thus, in this paper, we propose eye tracking error compensation method using trajectory information and data compression method using object information of content to solve these problems mentioned above. Finally, we verify data accuracy of the proposed system and reduction ratio of data in a situation if there is a random error.
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Oh, JM., Hong, S., Moon, N. (2014). Gaze Behavior Analysis System Based on Objects Using Trajectory Information. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_89
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DOI: https://doi.org/10.1007/978-94-017-8798-7_89
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