Literature DB >> 33916189

Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance.

Minglun Li1, Dianning He1, Chen Li1, Shouliang Qi1,2,3.   

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.

Entities:  

Keywords:  brain–computer interface (BCI); hybrid; paradigm; speller; steady-state visual evoked potential (SSVEP); triggering method

Year:  2021        PMID: 33916189     DOI: 10.3390/brainsci11040450

Source DB:  PubMed          Journal:  Brain Sci        ISSN: 2076-3425


  3 in total

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Authors:  Piotr Stawicki; Ivan Volosyak
Journal:  Brain Sci       Date:  2022-02-08

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Authors:  Juai Wu; Zhenyu Wang; Tianheng Xu; Chengyang Sun
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

3.  Novel hybrid visual stimuli incorporating periodic motions into conventional flickering or pattern-reversal visual stimuli for steady-state visual evoked potential-based brain-computer interfaces.

Authors:  Jinuk Kwon; Jihun Hwang; Hyerin Nam; Chang-Hwan Im
Journal:  Front Neuroinform       Date:  2022-09-21       Impact factor: 3.739

  3 in total

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