KVC-onGoing:击键验证挑战赛
人机交互
2024-12-31 v1 计算机视觉与模式识别
摘要
本文介绍击键验证挑战赛——持续赛(KVC-onGoing),研究人员可在该公共平台上使用大规模公开数据库(阿尔托大学击键数据库)和标准实验协议,方便地对其系统进行基准测试。击键数据由超过 185,000 名受试者在模拟真实场景的桌面和移动键盘上输入的、长度相当于一条推文、可变文本内容的击键序列组成。KVC-onGoing 评估集上的结果证明了击键动力学具有很高的判别能力,在桌面场景下达到了低至 3.33% 的等错误率(EER)和在 1% 误匹配率(FMR)下 11.96% 的拒真率(FNMR);在移动场景下达到了 3.61% 的 EER 和在 1% FMR 下 17.44% 的 FNMR,显著优于此前的最先进结果。在人口统计学公平性方面,所分析的得分在一定程度上反映了受试者的年龄和性别,在少数情况下不可忽略。该框架运行于 CodaLab 平台。
引用
@article{arxiv.2412.20530,
title = {KVC-onGoing: Keystroke Verification Challenge},
author = {Giuseppe Stragapede and Ruben Vera-Rodriguez and Ruben Tolosana and Aythami Morales and Ivan DeAndres-Tame and Naser Damer and Julian Fierrez and Javier Ortega-Garcia and Alejandro Acien and Nahuel Gonzalez and Andrei Shadrikov and Dmitrii Gordin and Leon Schmitt and Daniel Wimmer and Christoph Großmann and Joerdis Krieger and Florian Heinz and Ron Krestel and Christoffer Mayer and Simon Haberl and Helena Gschrey and Yosuke Yamagishi and Sanjay Saha and Sanka Rasnayaka and Sandareka Wickramanayake and Terence Sim and Weronika Gutfeter and Adam Baran and Mateusz Krzysztoń and Przemysław Jaskóła},
journal= {arXiv preprint arXiv:2412.20530},
year = {2024}
}
备注
arXiv admin note: substantial text overlap with arXiv:2401.16559, arXiv:2311.06000