Using a P300 Brain–Computer Interface in an Immersive Virtual Environment

Author:

Donnerer Michael1,Steed Anthony2

Affiliation:

1. University College London

2. Department of Computer Science, University College London, London, WC1E 6BT

Abstract

Brain–computer interfaces (BCIs) provide a novel form of human–computer interaction. The purpose of these systems is to aid disabled people by affording them the possibility of communication and environment control. In this study, we present experiments using a P300 based BCI in a fully immersive virtual environment (IVE). P300 BCIs depend on presenting several stimuli to the user. We propose two ways of embedding the stimuli in the virtual environment: one that uses 3D objects as targets, and a second that uses a virtual overlay. Both ways have been shown to work effectively with no significant difference in selection accuracy. The results suggest that P300 BCIs can be used successfully in a 3D environment, and this suggests some novel ways of using BCIs in real world environments.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

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1. Decoding Locomotion intention in Virtual Reality Using EEG;2023 15th Biomedical Engineering International Conference (BMEiCON);2023-10-28

2. The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality;IEEE Journal of Biomedical and Health Informatics;2021-09

3. Hands-free interaction in immersive virtual reality: A systematic review;IEEE Transactions on Visualization and Computer Graphics;2021-05

4. Standardization of protocol design for user training in EEG-based Brain-Computer Interface;Journal of Neural Engineering;2020-11-20

5. Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces;International Journal of Psychophysiology;2017-01

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