Abstract
Virtual reality promises to extend the realm of possible brain-computer interface (BCI) prototypes. Most of the work using electroencephalograph (EEG) signals in VR has focussed on brain-body actuated control, where biological signals from the body as well as the brain are used. We show that when subjects are allowed to move and act normally in an immersive virtual environment, cognitive evoked potential signals can still be obtained and used reliably. A single trial accuracy average of 85% for recognizing the differences between evoked potentials at red and yellow stop lights will be presented and future directions discussed.
Keywords
Brain–computer interfaceVirtual realityTestbedInterface (matter)Computer scienceHuman–computer interactionElectroencephalographyCognitionVirtual machineBrain wavesSimulationNeurosciencePsychology
Affiliated Institutions
Related Publications
Linear classification of low-resolution EEG patterns produced by imagined hand movements
Electroencephalograph (EEG)-based brain-computer interfaces (BCI's) require on-line detection of mental states from spontaneous EEG signals. In this framework, surface Laplacian...
Publication Info
- Year
- 2000
- Type
- article
- Volume
- 8
- Issue
- 2
- Pages
- 188-190
- Citations
- 156
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
156
OpenAlex
Cite This
Jessica D. Bayliss,
D.H. Ballard
(2000).
A virtual reality testbed for brain-computer interface research.
IEEE Transactions on Rehabilitation Engineering
, 8
(2)
, 188-190.
https://doi.org/10.1109/86.847811
Identifiers
- DOI
- 10.1109/86.847811