Logo image
Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions
Journal article   Peer reviewed

Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions

Doug P Mahar, R Napier, M Wagner, W Laverty, R D Henderson and M Hiron
International Journal of Human - Computer Studies, Vol.43(4), pp.579-592
1995
url
https://doi.org/10.1006/ijhc.1995.1061View
Published Version

Abstract

Information and Computing Sciences Psychology and Cognitive Sciences
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

Metrics

4 File views/ downloads
919 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Computer Science, Cybernetics
Ergonomics
Psychology, Multidisciplinary
Logo image