Paper Info
Title
Visual fatigue effects on Steady State Visual Evoked Potential-based Brain Computer Interfaces
Abstract
Brain computer interfaces are a direct communication pathway between the brain and external devices and require mental effort to work efficiently. After long use of such interfacing systems, subjects have reported fatigue symptoms. Fatigue influence on the EEG signals could disrupt human-computer communication and decrease the reliability of the responses. In this paper, fatigue effects on SSVEP-based BCI use are evaluated. Thirteen healthy subjects participated in the experiment, which uses a BCI system originally designed for online wheelchair navigation. Signal analysis was based on accuracy rates, band power spectra and SSVEP amplitudes extraction. Although accuracy levels show no statistically significant differences, self-reported fatigue levels increase and SSVEP amplitudes decrease with time. Our analysis demonstrates no consistent band power changes.
Year
DOI
Venue
2015
10.1109/NER.2015.7146562
Neural Engineering
Keywords
Field
DocType
biomechanics,brain-computer interfaces,electroencephalography,fatigue,medical signal processing,reliability,visual evoked potentials,wheelchairs,EEG signals,SSVEP amplitude extraction,SSVEP-based BCI system,band power changes,band power spectra,brain computer interfaces,fatigue symptoms,human-computer communication,interfacing systems,online wheelchair navigation,reliability,self-reported fatigue levels,statistically significant differences,steady state visual evoked potential,visual fatigue effects
Wheelchair,Signal processing,Computer science,Brain–computer interface,Interfacing,Speech recognition,Evoked potential,Steady state,Fatigue symptoms,Electroencephalography
Conference
ISSN
Citations 
PageRank 
1948-3546
1
0.36
References 
Authors
3
3
Name
Order
Citations
PageRank
dimitra makri110.36
christina farmaki230.76
Vangelis Sakkalis311023.68