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 |
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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 |
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