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

Filip Škola1, Simona Tinková1, Fotis Liarokapis1

  • 1Faculty of Informatics, Masaryk University, Brno, Czechia.

Frontiers in Human Neuroscience
|October 17, 2019
PubMed
Summary
This summary is machine-generated.

This study enhanced motor imagery brain-computer interface (MI-BCI) training using gamification and virtual reality. Participants showed improved MI-BCI skills and positive affect, demonstrating the training

Keywords:
body ownership transferbrain-computer interfaceembodimentgamificationmotor imagery

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Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Brain-computer interfaces (BCIs) offer alternative communication and control methods.
  • Motor imagery (MI) based BCIs (MI-BCIs) require extensive training for users to effectively modulate neural signals.
  • Current MI-BCI training can be tedious, leading to decreased user engagement and motivation.

Purpose of the Study:

  • To develop and evaluate a gamified, immersive virtual reality (VR) training system for motor imagery brain-computer interfaces (MI-BCIs).
  • To enhance user engagement, attention, and motivation during MI-BCI training.
  • To investigate the role of embodiment and training pace in MI-BCI skill acquisition.

Main Methods:

  • A gamified MI-BCI training protocol was implemented within an immersive VR environment.
  • Training incorporated co-adaptive, event-driven paradigms with a progressive increase in difficulty.
  • User embodiment within the virtual avatar was reinforced through VR design elements.
  • Twenty healthy participants underwent 2-class MI-BCI training (left/right hand discrimination).

Main Results:

  • Nineteen out of twenty participants achieved a basic level of MI-BCI operation.
  • The average peak accuracy across participants reached 75.84%.
  • Participants reported high positive affect post-training.
  • While performance wasn't directly correlated with embodiment, subjective embodiment correlated with sensorimotor rhythm modulation ability.

Conclusions:

  • The proposed gamified VR MI-BCI training method effectively improves user performance and engagement.
  • The integration of gamification and VR enhances the learning experience and user affect.
  • Embodiment in VR may play a role in the neural modulation required for MI-BCI control.