Towards Personal Identification using Eye Tracking Patterns

カテゴリ: 国際会議

論文No: PS-03

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Daisuke Yagi(Kanagawa Institute of Technology), Takayuki Suzuki (Kanagawa Institute of Technology),Tetsuo Tanaka(Kanagawa Institute of Technology), Kazunori Matsumoto(Kanagawa Institute of Technology)

キーワード: datamining, data engineering,\nknowledge engineering, personal identification,\neye tracking data, sensing data

要約(英語): This paper invents a new approach to identifying a person use data of eye tracking. The problem of personal identification is the first step of the authentication process, and has many possible applications in information technologies. The cost of collecting eye tracking data is decreasing recently, and the data can be obtained without a burden of a living body. Experiments in this paper use simple triangle or square, and we collect eye tracking data during testers are gazing there corners one after another. The data are records of point in the two dimensional space. A direct approach over these data becomes complicated, we then in this paper retrieve 4 gaze point data from them under the assumption of gaze data close to the target suffice identity of person. After selecting features from the 4 gaze point data, we apply a data mining method. As a first report of this study, we explain outlines and results of the experiments.

原稿種別: 英語

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