The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality
| Autor: | Yanhong Zhou, Tzyy-Ping Jung, Hongqian Chen, Dong Wen, Bingbing Liang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.
HCI) Computer science Virtual Reality Electroencephalography Virtual reality Field (computer science) Computer Science Applications Visualization User-Computer Interface InformationSystems_MODELSANDPRINCIPLES Modal Health Information Management Action (philosophy) Human–computer interaction Brain-Computer Interfaces Task analysis Humans Eye tracking Electrical and Electronic Engineering Biotechnology Brain–computer interface |
| Zdroj: | IEEE Journal of Biomedical and Health Informatics. 25:3278-3287 |
| ISSN: | 2168-2208 2168-2194 |
| DOI: | 10.1109/jbhi.2020.3047836 |
| Popis: | Combing brain-computer interfaces (BCI) and virtual reality (VR) is a novel technique in the field of medical rehabilitation and game entertainment. However, the limitations of BCI such as a limited number of action commands and low accuracy hinder the widespread use of BCI-VR. Recent studies have used hybrid BCIs that combine multiple BCI paradigms and/or the multi-modal biosensors to alleviate these issues, which may become the mainstream of BCIs in the future. The main purpose of this review is to discuss the current status of multi-modal BCI-VR. This study first reviewed the development of the BCI-VR, and explored the advantages and disadvantages of incorporating eye tracking, motor capture, and myoelectric sensing into the BCI-VR system. Then, this study discussed the development trend of the multi-modal BCI-VR, hoping to provide a pathway for further research in this field. |
| Databáze: | OpenAIRE |
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