Multimodal User Authentication Method via Fusion of Keystroke Dynamics and Glove-Based Hand Kinematics

본문 미리보기

arXiv:2607.24747v1 Announce Type: new Abstract: Although keystroke dynamics are cost-effective behavioral biometrics, their practical deployment is hindered by susceptibility to environmental variations. To address this, we propose a robust multimodal authentication framework that augments traditional keystroke dynamics using 19-dimensional hand kinematics. Features are captured using a bespoke data glove equipped with 10 piezoresistive pressure sensors and a 9-axis IMU. A hybrid CNN-LSTM archi