Bibliographic Details
| Title: |
KVC-onGoing: Keystroke Verification Challenge |
| Authors: |
Stragapede, Giuseppe, Vera-Rodriguez, Ruben, Tolosana, Ruben, Morales, Aythami, DeAndres-Tame, Ivan, Damer, Naser, Fierrez, Julian, Ortega-Garcia, Javier, Acien, Alejandro, Gonzalez, Nahuel, Shadrikov, Andrei, Gordin, Dmitrii, Schmitt, Leon, Wimmer, Daniel, Großmann, Christoph, Krieger, Joerdis, Heinz, Florian, Krestel, Ron, Mayer, Christoffer, Haberl, Simon, Gschrey, Helena, Yamagishi, Yosuke, Saha, Sanjay, Rasnayaka, Sanka, Wickramanayake, Sandareka, Sim, Terence, Gutfeter, Weronika, Baran, Adam, Krzysztoń, Mateusz, Jaskóła, Przemysław |
| Publication Year: |
2024 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition |
| More Details: |
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases, and a standard experimental protocol. The keystroke data consist of tweet-long sequences of variable transcript text from over 185,000 subjects, acquired through desktop and mobile keyboards simulating real-life conditions. The results on the evaluation set of KVC-onGoing have proved the high discriminative power of keystroke dynamics, reaching values as low as 3.33% of Equal Error Rate (EER) and 11.96% of False Non-Match Rate (FNMR) @1% False Match Rate (FMR) in the desktop scenario, and 3.61% of EER and 17.44% of FNMR @1% at FMR in the mobile scenario, significantly improving previous state-of-the-art results. Concerning demographic fairness, the analyzed scores reflect the subjects' age and gender to various extents, not negligible in a few cases. The framework runs on CodaLab.
Comment: arXiv admin note: substantial text overlap with arXiv:2401.16559, arXiv:2311.06000 |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2412.20530 |
| Accession Number: |
edsarx.2412.20530 |
| Database: |
arXiv |
