Abstract: Keystroke dynamics-based authentication is a promising approach to enhance the security of personal identification number (PIN)-based authentication systems for mobile devices. While its ...

The initiative, hosted and administered by the Cape Clothing and Textile Cluster (CCTC), is aimed at helping local ...

ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...

Correction: Discriminant Power of Smartphone-Derived Keystroke Dynamics for Mild Cognitive Impairment Compared to a Neuropsychological Screening Test: Cross-Sectional Study Jin-Hyuck Park 1 Article ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: Keystroke dynamics, a behavioral biometric modality, offers promising applications in authentication and intrusion detection systems. However, the scarcity of publicly available datasets due ...

Artificial intelligence systems can now identify keyboard keystrokes with over 90 percent accuracy by analyzing sound recordings from video calls and smartphones, according to new research findings.

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

1 Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan. 2 Department of Electrical and Computer Engineering, National Institute of Technology, Akashi College, Akashi, Japan.