Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment
This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in immersive virtual reality. Aim of the proposed training method is to increase engagement, attention, and motivation in co-adaptive event-driven MI-BCI training. This was achieved using gamification, progressiv...
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Published in | Frontiers in human neuroscience Vol. 13; p. 329 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Lausanne
Frontiers Research Foundation
26.09.2019
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
ISSN | 1662-5161 1662-5161 |
DOI | 10.3389/fnhum.2019.00329 |
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Summary: | This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in immersive virtual reality. Aim of the proposed training method is to increase engagement, attention, and motivation in co-adaptive event-driven MI-BCI training. This was achieved using gamification, progressive increase of the training pace, and virtual reality design reinforcing the body ownership transfer (embodiment) into the avatar. From the 20 healthy participants performing 6 runs of 2-class MI-BCI training (left/right hand), 19 were trained for a basic level of MI-BCI operation, with average peak accuracy in the session equal to 75.84\%. This confirms the proposed training method succeeded in improvement of the MI-BCI skills; moreover, participants were leaving the session in high positive affect. Although the performance was not directly correlated to the degree of embodiment, subjective magnitude of the body ownership transfer illusion correlated with the abilities to modulate the sensorimotor rhythm. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Reviewed by: Emmanuele Tidoni, University of Hull, United Kingdom; Ephrem Takele Zewdie, University of Calgary, Canada This article was submitted to Brain-Computer Interfaces, a section of the journal Frontiers in Human Neuroscience Edited by: Felix Putze, University of Bremen, Germany |
ISSN: | 1662-5161 1662-5161 |
DOI: | 10.3389/fnhum.2019.00329 |