{"title":"BioEye 2015: Competition on biometrics via eye movements","authors":"Oleg V. Komogortsev, Ioannis Rigas","doi":"10.1109/BTAS.2015.7358750","DOIUrl":null,"url":null,"abstract":"Biometric recognition via eye movement-driven features is an emerging field of research. Eye movement cues are characterized by their non-static nature, the encapsulation of physical and behavioral traits, and the possibility to be recorded in tandem with other modalities, e.g. the iris. The BioEye 2015 competition was organized with the aim to boost the evolution of the eye movement biometrics field. The competition was implemented with a particular focus on the issues facing the researchers in the domain of the eye movement recognition, e.g. quality of the eye movement recordings, different visual stimulus types, and the effect of template aging on the resulting recognition accuracy. This paper describes the details and the results of the BioEye 2015 competition, which provided the largest to date biometric database containing records from 306 subjects, stimulus of two types, and recordings separated by short-time and long-time intervals.","PeriodicalId":404972,"journal":{"name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BTAS.2015.7358750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Biometric recognition via eye movement-driven features is an emerging field of research. Eye movement cues are characterized by their non-static nature, the encapsulation of physical and behavioral traits, and the possibility to be recorded in tandem with other modalities, e.g. the iris. The BioEye 2015 competition was organized with the aim to boost the evolution of the eye movement biometrics field. The competition was implemented with a particular focus on the issues facing the researchers in the domain of the eye movement recognition, e.g. quality of the eye movement recordings, different visual stimulus types, and the effect of template aging on the resulting recognition accuracy. This paper describes the details and the results of the BioEye 2015 competition, which provided the largest to date biometric database containing records from 306 subjects, stimulus of two types, and recordings separated by short-time and long-time intervals.