Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions
@article{Mahar1995OptimizingDB, title={Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions}, author={Doug Mahar and R. Napier and M. Wagner and W. Laverty and Ron Henderson and Michael Hiron}, journal={Int. J. Hum. Comput. Stud.}, year={1995}, volume={43}, pages={579-592} }
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… CONTINUE READING
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References
SHOWING 1-8 OF 8 REFERENCES
Dynamic Identity Verification via Keystroke Characteristics
- Computer Science
- Int. J. Man Mach. Stud.
- 1991
- 193
Identity Verification Through Keyboard Characteristics
- Computer Science
- Int. J. Man Mach. Stud.
- 1985
- 217
User Identification via Keystroke Characteristics of Typed Names using Neural Networks
- Computer Science
- Int. J. Man Mach. Stud.
- 1993
- 196