Title
Active and Passive Brain-Computer Interfaces Integrated with Extended Reality for Applications in Health 4.0
Abstract
This paper presents the integration of extended reality (XR) with brain-computer interfaces (BCI) to open up new possibilities in the health 4.0 framework. Such integrated systems are here investigated with respect to an active and a passive BCI paradigm. Regarding the active BCI, the XR part consists of providing visual and vibrotactile feedbacks to help the user during motor imagery tasks. Therefore, XR aims to enhance the neurofeedback by enhancing the user engagement. Meanwhile, in the passive BCI, user engagement monitoring allows the adaptivity of a XR-based rehabilitation game for children Preliminary results suggest that the XR neurofeedback helps the BCI users to carry on motor imagery tasks with up to 84% classification accuracy, and that the level of emotional and cognitive engagement can be detected with an accuracy greater than 75%.
Year
DOI
Venue
2021
10.1007/978-3-030-87595-4_29
AUGMENTED REALITY, VIRTUAL REALITY, AND COMPUTER GRAPHICS
Keywords
DocType
Volume
Brain-computer interface, Extended reality, Health 4.0, Motor imagery, Attention monitoring
Conference
12980
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Pasquale Arpaia19529.77
Antonio Esposito27818.72
Francesca Mancino300.34
Nicola Moccaldi400.34
Angela Natalizio500.34