Motor imagery with cues in virtual reality, audio and screen
Sonal Santosh Baberwal1, Luz Alejandra Magre2, K R Sanjaya D Gunawardhana3
1Dublin City University, School of Electronic Engineering, Dublin City University, D09Y074 Dublin, Ireland, Dublin, D09Y074, IRELAND.
Journal of Neural Engineering
|September 4, 2024
Summary
Virtual reality (VR) enhances motor imagery (MI) signals more than audio or screen cues for brain-computer interface (BCI) training. This finding can improve MIBCI systems and rehabilitation applications.
Area of Science:
- Neuroscience
- Human-Computer Interaction
- Rehabilitation Engineering
Background:
- Motor imagery (MI) is crucial for brain-computer interface (BCI) and rehabilitation systems.
- Previous research explored cues and MI signals, but cue presentation medium is understudied.
- The medium of cue presentation may impact MI signal quality and training outcomes.
Purpose of the Study:
- To investigate the influence of different cue presentation mediums on motor imagery (MI) signals.
- To determine if audio, screen, or virtual reality (VR) mediums yield superior MI performance.
- To inform the design of more effective MI-based BCI systems.
Main Methods:
- An experiment using no-feedback motor imagery (MI) tasks was conducted.
- Three cue presentation mediums were tested: audio, screen, and virtual reality (VR) headsets.
- Analysis involved EEG channels, Event-Related Synchronisation/Desynchronisation (ERS/ERD), Recursive Feature Elimination (RFE), Ensemble Learning, and questionnaires.
Main Results:
- Motor imagery (MI) signals varied significantly based on the cue presentation medium.
- Virtual reality (VR) cues resulted in enhanced MI signals, followed by audio, then screen.
- Machine learning models achieved the highest cross-validation accuracy with VR cues (69.24 ± 3.12%).
Conclusions:
- The medium of cue presentation significantly impacts motor imagery (MI) signal quality and performance.
- Virtual reality (VR) emerges as a promising medium for cue presentation in MIBCI.
- Findings support integrating diverse presentation mediums into MIBCI system design for improved user studies and applications.
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