Journal article
Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions
International Journal of Human - Computer Studies, Vol.43(4), pp.579-592
1995
Abstract
Umphress and Williams have shown that individual differences in digraph latency may provide a means of accurately verifying the identity of computer users. The present research refined this technique by exploring inter and intra subject differences in digraph latency distributions. Experiment 1 showed that there is marked heterogeneity in the latency with which individual subjects type different digraphs. Consequently, it was found that typist verification accuracy improved when a digraph-specific index of the distance between test and reference digraph latencies was employed. Experiment 1 also showed the utility of nonlinear modelling as a tool to establish optimum verification parameter settings. Experiment 2 showed that the use of a common low-pass temporal filter cutoff setting for all typists when screening digraphs is unwise. It was found that there is a significant interaction between subjects and filter settings such that verification accuracy may improve if subject-specific filter settings are used.
Details
- Title
- Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions
- Authors
- Doug P Mahar (Author) - Queensland University of TechnologyR Napier (Author) - Australian National UniversityM Wagner (Author) - Australian National UniversityW Laverty (Author) - University of CanberraR D Henderson (Author) - University of CanberraM Hiron (Author) - Australian National University
- Publication details
- International Journal of Human - Computer Studies, Vol.43(4), pp.579-592
- Publisher
- Academic Press
- Date published
- 1995
- DOI
- 10.1006/ijhc.1995.1061
- ISSN
- 1071-5819
- Organisation Unit
- School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; Engage Research Lab
- Language
- English
- Record Identifier
- 99447782002621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Computer Science, Cybernetics
- Ergonomics
- Psychology, Multidisciplinary