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|Title:||Continuous verification using multimodal biometrics||Authors:||Zhang, S.
|Issue Date:||2006||Citation:||Zhang, S.,Janakiraman, R.,Sim, T.,Kumar, S. (2006). Continuous verification using multimodal biometrics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3832 LNCS : 562-570. ScholarBank@NUS Repository.||Abstract:||In this paper we describe a system that continually verifies the presence/participation of a logged-in user. This is done by integrating multimodal passive biometrics in a Bayesian framework that combines both temporal and modality information holistically, rather than sequentially. This allows our system to output the probability that the user is still present even when there is no observation. Our implementation of the continuous verification system is distributed and extensible, so it is easy to plug in additional asynchronous modalities, even when they are remotely generated. Based on real data resulting from our implementation, we find the results to be promising. © Springer-Verlag Berlin Heidelberg 2005.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/41169||ISBN:||3540311114||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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