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Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical
Piotr Stawicki1, Ivan Volosyak1
1Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, 47533 Kleve, Germany.
Brain Sciences
|October 1, 2020
Summary
New movement-based visual evoked potentials (mVEP) offer a flicker-free brain-computer interface (BCI) alternative. These steady-state motion visual evoked potentials (SSMVEP) achieved high accuracy and information transfer rates in a spelling task.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Steady-state visual evoked potentials (SSVEP) are a key technology in brain-computer interfaces (BCI).
- Traditional SSVEP relies on flickering visual stimuli, which can cause discomfort.
- Motion-based visual evoked potentials (mVEP) present an emerging alternative.
Purpose of the Study:
- To introduce and evaluate novel movement-based stimulus patterns for SSVEP.
- To assess the performance of these steady-state motion visual evoked potentials (SSMVEP) in a BCI spelling task.
- To compare different movement patterns for their efficacy in BCI applications.
Main Methods:
- Developed and tested five distinct movement-based visual stimuli: pendulum-like movement, flipping illusion, checkerboard pulsation, checkerboard inverse arc pulsations, and reverse arc rotations.
- Implemented an online four-target BCI speller using these SSMVEP stimuli.
- Employed minimum energy combination and filter bank approaches for signal classification.
- Utilized stimulus frequencies of 7.06 Hz, 7.50 Hz, 8.00 Hz, and 8.57 Hz.
Main Results:
- Achieved high average accuracy ranging from 97.22% to 100% across participants and stimulus types.
- Reported average information transfer rates (ITR) between 15.42 bits/min and 33.92 bits/min.
- The pendulum-like movement (SSMVEP1) demonstrated superior performance, reaching 100% accuracy and 33.92 bits/min ITR.
Conclusions:
- Movement-based visual evoked potentials (mVEP) provide a viable, flicker-free alternative for brain-computer interfaces.
- SSMVEP systems are effective for BCI spelling tasks, with high accuracy and ITR.
- Specific movement patterns, like pendulum-like motion, can significantly enhance BCI performance.
