Alejandro Acien

TypeNet: Scaling up Keystroke Biometrics

2020

We study the suitability of keystroke dynamics to authenticate 100 K users typing free-text. For this, we first analyze to what extent our method based on a Siamese Recurrent Neural Network (RNN) is able to …

BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection

2022 · arXiv (Cornell University)

This work proposes a data driven learning model for the synthesis of keystroke biometric data. The proposed method is compared with two statistical approaches based on Universal and User-dependent models. These approaches are validated on …

Generalizing Parkinson’s disease detection using keystroke dynamics: a self-supervised approach

2024 · Journal of the American Medical Informatics Association

OBJECTIVE: Passive monitoring of touchscreen interactions generates keystroke dynamic signals that can be used to detect and track neurological conditions such as Parkinson's disease (PD) and psychomotor impairment with minimal burden on the user. However, …