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Exploration of illusory visual motion stimuli: An EEG-based brain-computer interface for practical assistive
Yunyong Punsawad1,2, Nannaphat Siribunyaphat1, Yodchanan Wongsawat3
1School of Informatics, Walailak University, Nakhon Si Thammarat, 80160 Thailand.
Heliyon
|March 31, 2021
Summary
This study introduces a novel brain-computer interface (BCI) using illusory visual motion to improve motor imagery (MI) training. The new BCI system demonstrated higher accuracy, offering a more efficient alternative for assistive communication.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Motor imagery (MI) based brain-computer interfaces (BCIs) require extensive training.
- External sensory stimulation offers a potential method to enhance BCI efficiency.
- Illusory visual motion is explored as a novel stimulus for BCI applications.
Purpose of the Study:
- To develop and evaluate an illusory visual motion stimulus-based BCI system.
- To compare the efficiency of the proposed BCI with traditional motor imagery.
- To enhance assistive communication for individuals with severe disabilities.
Main Methods:
- Observation of visual motion illusion patterns using brain topographic maps.
- Implementation of an illusory visual motion stimulus-based BCI system.
- Modulation of alpha rhythms using arrow and moving-arrow visual patterns.
- Development of a novel feature extraction and decision-making algorithm for BCI control.
- Comparison of the proposed BCI with MI-based BCI in ten volunteers.
Main Results:
- The arrow pattern achieved an average classification accuracy of approximately 78.5%.
- The proposed illusory visual motion stimulus-based BCI system demonstrated approximately 4% higher accuracy than motor imagery.
- The overall accuracy of the proposed BCI system reached approximately 80.3%.
- The system successfully controlled a cursor for assistive communication with five distinct commands.
Conclusions:
- An illusory visual motion stimulus hybrid BCI system can effectively supplement MI-based BCIs, particularly for beginners.
- The developed BCI system shows promise for enhancing communication in individuals with severe disabilities.
- This novel approach offers a more efficient and accessible BCI solution.
