@inproceedings{c4d28d7c9f3e4557b50081912aa6bd39,
title = "Gaze behavior analysis system based on objects using trajectory information",
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.",
keywords = "Data compression, Error compensation, Eye tracking, Object representation, User{\textquoteright}s behavior analysis",
author = "Oh, \{Jung Min\} and Sangjin Hong and Nammee Moon",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.; 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 ; Conference date: 13-01-2014 Through 16-01-2014",
year = "2014",
doi = "10.1007/978-94-017-8798-7\_89",
language = "English",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "799--808",
editor = "Albert Zomaya and Park, \{James J.\} and Hwa-Young Jeong and Mohammad Obaidat",
booktitle = "Frontier and Innovation in Future Computing and Communications",
}