When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors
Abstract
This repository contains relevant code, datasets, and devices of our project for the paper "When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors." The repository is organized as follows: (1) Code: Python/MATLAB code for preprocessing data, extracting features, and developing the models in BRAVESPY; (2) BCI_Device: explanations of how to use our non-invasive BCI device to capture EEG signals; (3) Data_BCI and Data_Motion: data collected from BCI devices and VR motion sensors; (4) Models: pre-trained models. This work takes ethical considerations seriously, and it has been approved by our institution's IRB to collect data from human participants. BRAVESPY and our custom-built attacking prototype have NEVER been released to any other parties. The complete lists of 50 websites, 50 VR apps, and 50 Netflix streaming videos used in the evaluation are also included in this repository. More details will be released as soon as possible.
Fields of Study & Subjects
Privacy
Security
and Data Protection
EEG and Brain-Computer Interfaces
Privacy-Preserving Technologies in Data
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 March 2026
- Language
- EN