RHU Keystroke Touchscreen Benchmark
Résumé
Biometric systems are currently widely used in many applications to control and verify individual's identity. Keystroke dynamics modality has been shown as a promising solution that would be used in many applications such as e-payment and banking applications. However, such systems suffer from several performance limitations (such as cross-devices problem) that prevents their widespread of use in real applications. The objective of this paper is to provide researchers and developers with a public touchscreen-based benchmark collected using a mobile phone and tablet (both portrait and landscape orientation each). An online visualizer for the database is also given to researchers allowing them visualizing the acquired keystroke signals.
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