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Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control
| Content Provider | Semantic Scholar |
|---|---|
| Author | Singla, Rajesh Khosla, Arun Jha, Rameshwar |
| Copyright Year | 2013 |
| Abstract | In recent years, Brain Computer Interface (BCI) systems based on Steady-State Visual Evoked Potential (SSVEP) have received much attention. This study tries to develop a SSVEP based BCI system that can control a wheelchair prototype in five different positions including stop position. In this study four different flickering frequencies in low frequency region were used to elicit the SSVEPs and were displayed on a Liquid Crystal Display (LCD) monitor using LabVIEW. Four stimuli colors, green, red, blue and violet were used to investigate the color influence in SSVEPs. The Electroencephalogram (EEG) signals recorded from the occipital region were segmented into 1 second window and features were extracted by using Fast Fourier Transform (FFT). One-Against-All (OAA), a popular strategy for multiclass SVM, is used to classify SSVEP signals. During stimuli color comparison SSVEP with violet color showed higher accuracy than that with green, red and blue stimuli. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://file.scirp.org/pdf/JBiSE_2013111115213544.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Acoustic Evoked Brain Stem Potentials Brain-Computer Interfaces Brain–computer interface Color Electroencephalography Extraction Fast Fourier transform Feature vector Interface Device Component LabVIEW Occipital lobe Open Agent Architecture Photopsia Pokémon Red Prototype Spec# Steady state Thin-film-transistor liquid-crystal display Viola |
| Content Type | Text |
| Resource Type | Article |