Work

GazeLock: Gaze- and Lock Pattern-Based Authentication

Year: 2024

Type: conference-paper

Source: ACM Symposium on Virtual Reality Software and Technology (VRST)

DOI: 10.1145/3641825.3689520

Authors: László Kopácsi, Tobias Sebastian Schneider, Chiara Karr, Michael Barz, Daniel Sonntag

Institutions: German Research Centre for Artificial Intelligence, Saarland University, Carl von Ossietzky Universität Oldenburg

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4402721847

FWCI: 1.604

Cites: 8

Cited by: 4

Related to: 10