EEG-Based User Verification Across PC and VR
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