EEG-Based User Verification Across PC and VR

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Authors: Fresno California State University, Kiran Nair, Sindhu Reddy Gopal
Cited by: 0

Abstract

This repository contains the complete source code used in our study on EEG-based user authentication and verification across heterogeneous environments (PC and VR). The codebase supports classical machine learning models, deep learning models, and one-class verification pipelines using both REVE embeddings and EEGNet. The repository is organized to support dataset construction, feature extraction, model training, evaluation, and analysis, with full command-line configurability to reproduce all reported experiments.

Fields of Study & Subjects

Biometric Identification and Security User Authentication and Security Systems Emotion and Mood Recognition

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset