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Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance
- Source :
- Brain Sciences, Vol 11, Iss 450, p 450 (2021), Brain Sciences
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph (EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to construct brain–computer interface (BCI) spellers. In BCI spellers, the targets of alphanumeric characters are assigned different visual stimuli and the fixation of each target generates a unique SSVEP. Matching the SSVEP to the stimulus allows users to select target letters and numbers. Many BCI spellers that harness the SSVEP have been proposed over the past two decades. Various paradigms of visual stimuli, including the procedure of target selection, layout of targets, stimulus encoding, and the combination with other triggering methods are used and considered to influence on the BCI speller performance significantly. This paper reviews these stimulus paradigms and analyzes factors influencing their performance. The fundamentals of BCI spellers are first briefly described. SSVEP-based BCI spellers, where only the SSVEP is used, are classified by stimulus paradigms and described in chronological order. Furthermore, hybrid spellers that involve the use of the SSVEP are presented in parallel. Factors influencing the performance and visual fatigue of BCI spellers are provided. Finally, prevailing challenges and prospective research directions are discussed to promote the development of BCI spellers.
- Subjects :
- Visual perception
Alphanumeric
Computer science
triggering method
Speech recognition
Interface (computing)
0206 medical engineering
02 engineering and technology
Review
Electroencephalography
lcsh:RC321-571
Stimulus (psychology)
03 medical and health sciences
0302 clinical medicine
medicine
Evoked potential
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Brain–computer interface
medicine.diagnostic_test
hybrid
General Neuroscience
paradigm
020601 biomedical engineering
brain–computer interface (BCI)
speller
Fixation (visual)
steady-state visual evoked potential (SSVEP)
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20763425
- Volume :
- 11
- Issue :
- 450
- Database :
- OpenAIRE
- Journal :
- Brain Sciences
- Accession number :
- edsair.doi.dedup.....f61f300a10629c6116c06b289c1d34c7