A Comparison of Mobile VR Display Running on an Ordinary Smartphone With Standard PC Display for P300-BCI Stimulus Presentation

Autor: Grégoire Cattan, Cesar Mendoza, Marco Congedo, Anton Andreev
Přispěvatelé: Interaction Homme Machine Technologie (IHMTEK), GIPSA - Vision and Brain Signal Processing (GIPSA-VIBS), GIPSA Pôle Sciences des Données (GIPSA-PSD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), GIPSA-Services (GIPSA-Services)
Rok vydání: 2021
Předmět:
FOS: Computer and information sciences
Computer science
Computer Science - Human-Computer Interaction
Electroencephalography
[SCCO]Cognitive science
Computer Science - Graphics
0302 clinical medicine
Human–computer interaction
P300
Virtual Reality VR
Réalité Virtuelle RV
Electroencéphalographie EEG
medicine.diagnostic_test
05 social sciences
Brain-Computer Interfaces BCI
Interface Cerveau-Machine ICM
[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Electroencephalograhy EEG
ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g.
HCI)

Potentiel évoqué
[INFO.INFO-ES]Computer Science [cs]/Embedded Systems
[SCCO.COMP]Cognitive science/Computer science
Virtual reality
Stimulus (physiology)
050105 experimental psychology
Eeg synchronization
Human-Computer Interaction (cs.HC)
Gaming
03 medical and health sciences
InformationSystems_MODELSANDPRINCIPLES
Artificial Intelligence
medicine
Event-related potential ERP
0501 psychology and cognitive sciences
Head-Mounted Devices HMD
Electrical and Electronic Engineering
Brain–computer interface
Casque de réalité virtuelle
Interface Cerveau-Ordinateur ICO
[SCCO.NEUR]Cognitive science/Neuroscience
Significant difference
Game
Graphics (cs.GR)
Control and Systems Engineering
Mobile phone
Personal computer
Casque de Réalité Virtuelle Passif
Jeu vidéo
030217 neurology & neurosurgery
Software
ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING/K.8.0: General/K.8.0.0: Games
Zdroj: IEEE Transactions on Games
IEEE Transactions on Games, Institute of Electrical and Electronics Engineers, 2021, 13 (1), pp.68-77. ⟨10.1109/TG.2019.2957963⟩
ISSN: 2475-1510
2475-1502
DOI: 10.1109/tg.2019.2957963
Popis: A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, for gaming. We focus on the so-called P300-BCI, a stable and accurate BCI paradigm relying on the recognition of a positive event-related potential (ERP) occurring in the EEG about 300 ms post-stimulation. We implemented a basic version of such a BCI displayed on an ordinary and affordable smartphone-based head-mounted VR device: that is, a mobile and passive VR system (with no electronic components beyond the smartphone). The mobile phone performed the stimuli presentation, EEG synchronization (tagging) and feedback display. We compared the ERPs and the accuracy of the BCI on the VR device with a traditional BCI running on a personal computer (PC). We also evaluated the impact of subjective factors on the accuracy. The study was within-subjects, with 21 participants and one session in each modality. No significant difference in BCI accuracy was found between the PC and VR systems, although the P200 ERP was significantly wider and larger in the VR system as compared to the PC system.
Comment: IEEE Transactions on Games, Institute of Electrical and Electronics Engineers, In press
Databáze: OpenAIRE