标题:Eye Movement Identification Based on Accumulated Time Feature
作者:Guo, Baobao; Wu, Qiang; Sun, Jiande; Yan, Hua
通讯作者:Sun, Jiande
作者机构:[Guo, Baobao; Wu, Qiang] Shandong Univ, Sch Informat Sci & Engn, Jinan, Peoples R China.; [Sun, Jiande] Shandong Normal Univ, Sch Informat Sci & Eng 更多
会议名称:2nd International Workshop on Pattern Recognition
会议日期:MAY 01-03, 2017
来源:SECOND INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION
出版年:2017
卷:10443
DOI:10.1117/12.2280279
关键词:Eye Movement; Biometrics Identification; Data Classification; Eye; Saccade; Eye Fixation
摘要:Eye movement is a new kind of feature for biometrical recognition, it has many advantages compared with other features such as fingerprint, face, and iris. It is not only a sort of static characteristics, but also a combination of brain activity and muscle behavior, which makes it effective to prevent spoofing attack. In addition, eye movements can be incorporated with faces, iris and other features recorded from the face region into multimode systems. In this paper, we do an exploring study on eye movement identification based on the eye movement datasets provided by Komogortsev et al. in 2011 with different classification methods. The time of saccade and fixation are extracted from the eye movement data as the eye movement features. Furthermore, the performance analysis was conducted on different classification methods such as the BP, RBF, ELMAN and SVM in order to provide a reference to the future research in this field.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028556907&doi=10.1117%2f12.2280279&partnerID=40&md5=76f5345a402dc9eeea328c430b230e7d
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