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      Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment

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          Abstract

          This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in immersive virtual reality. The 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 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 = 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 ability to modulate the sensorimotor rhythm.

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          Most cited references65

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          Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification

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            Das Reafferenzprinzip: Wechselwirkungen zwischen Zentralnervensystem und Peripherie

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              The Sense of Embodiment in Virtual Reality

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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                26 September 2019
                2019
                : 13
                : 329
                Affiliations
                Faculty of Informatics, Masaryk University , Brno, Czechia
                Author notes

                Edited by: Felix Putze, University of Bremen, Germany

                Reviewed by: Emmanuele Tidoni, University of Hull, United Kingdom; Ephrem Takele Zewdie, University of Calgary, Canada

                *Correspondence: Filip Škola xskola@ 123456mail.muni.cz

                This article was submitted to Brain-Computer Interfaces, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2019.00329
                6775193
                31616269
                a004bfe0-6cbc-478a-94d9-aa8f4b3d7f05
                Copyright © 2019 Škola, Tinková and Liarokapis.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 March 2019
                : 06 September 2019
                Page count
                Figures: 6, Tables: 2, Equations: 1, References: 79, Pages: 16, Words: 13687
                Funding
                Funded by: Horizon 2020 10.13039/501100007601
                Award ID: 727153
                Categories
                Human Neuroscience
                Original Research

                Neurosciences
                brain-computer interface,motor imagery,embodiment,body ownership transfer,gamification

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