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Improving performance in motor imagery BCI-based control applications via virtually embodied feedback.

Jin Woo Choi1, Sejoon Huh1, Sungho Jo1

  • 1School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, 34141, South Korea.

Computers in Biology and Medicine
|October 30, 2020
PubMed
Summary

Providing virtually embodied feedback during brain-computer interface (BCI) control using motor imagery (MI) significantly enhances user performance and neural discriminability. This approach shows promise for improving BCI applications.

Keywords:
Brain-computer interfaceEmbodimentEvent-related desynchronizationMotor imageryVirtual reality

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Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Brain-computer interfaces (BCIs) commonly utilize motor imagery (MI) for control, but often require extensive user experience for robust neural patterns.
  • Embodiment is recognized in rehabilitation for its potential to enhance cortical activity and improve functional outcomes.

Purpose of the Study:

  • To introduce and evaluate a novel BCI control scheme incorporating virtually embodiable feedback.
  • To investigate the impact of this feedback on user performance, neural pattern discriminability, and cortical activation.

Main Methods:

  • Participants engaged in two immersive virtual reality (VR) BCI control scenarios using electroencephalography (EEG).
  • Scenarios differed based on the presence or absence of "embodiable feedback" mirroring classified intentions.
  • Post-scenario questionnaires assessed user-perceived immersion and embodiment.

Main Results:

  • Users demonstrated superior control performance and greater discriminability in brain activity patterns with embodiable feedback.
  • Enhanced cortical activation was observed when using the novel control scheme.
  • Self-reported embodiment and presence correlated positively with performance outcomes.

Conclusions:

  • Virtually embodiable feedback can effectively enhance BCI control applications by improving neural activity and pattern discriminability.
  • Integrating embodiable feedback with immersive VR offers a promising avenue for advancing motor imagery-based BCIs.