@techreport{oai:ipsj.ixsq.nii.ac.jp:00237216,
 author = {Xiang, Li and Chi, Xu and Yasushi, Yagi and Xiang, Li and Chi, Xu and Yasushi, Yagi},
 issue = {10},
 month = {Jul},
 note = {Unlike conventional login authentication which only verifies users’ identity once at the beginning of a system session, continuous authentication ensures high security by verifying periodically throughout the session. Considering the lack of continuous authentication databases, in this paper, we introduce a newly collected face and speech database for continuous authentication, which consists of 114 subjects. It is collected through a web-based conversational game between pairs of subjects. During the game, subjects’ facial videos and the corresponding speech data are automatically saved. As for facial videos, we also use a special display equipped with five surrounding cameras to capture from different viewing angles to include more pose variations. Besides, we provide baseline evaluations of state-of-the-art face recognition and speaker recognition methods on our database. We believe that our database will benefit the field of continuous authentication, leading to more secure authentication systems., Unlike conventional login authentication which only verifies users’ identity once at the beginning of a system session, continuous authentication ensures high security by verifying periodically throughout the session. Considering the lack of continuous authentication databases, in this paper, we introduce a newly collected face and speech database for continuous authentication, which consists of 114 subjects. It is collected through a web-based conversational game between pairs of subjects. During the game, subjects’ facial videos and the corresponding speech data are automatically saved. As for facial videos, we also use a special display equipped with five surrounding cameras to capture from different viewing angles to include more pose variations. Besides, we provide baseline evaluations of state-of-the-art face recognition and speaker recognition methods on our database. We believe that our database will benefit the field of continuous authentication, leading to more secure authentication systems.},
 title = {The OU-ISIR continuous authentication database comprising face and speech biometrics},
 year = {2024}
}