The Distribution of Classification Accuracy Over the Whole Head for a Steady State Visual Evoked Potential Based Brain-computer Interface

Brain–computer interfaces (BCIs) system designed using the steady-state visual evoked potential (SSVEP) signal have been widely studied because of their high accuracy of classification and high rates of the information transfer. However, the SSVEP is typically measured over the occipital scalp regio...

Full description

Saved in:
Bibliographic Details
Published in:Procedia computer science 2017, Vol.107, p.389-394
Main Authors: Sun, Gaopeng, Yang, Yuankui, Leng, Yue, Wang, Haixian, Ge, Sheng
Format: Article
Language:English
Subjects:
Brain–computer interface(BCIs)
Classification accuracy
Electroencephalogram
Steady-state visual evoked potential(SSVEP)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Brain–computer interfaces (BCIs) system designed using the steady-state visual evoked potential (SSVEP) signal have been widely studied because of their high accuracy of classification and high rates of the information transfer. However, the SSVEP is typically measured over the occipital scalp region (channels O1, O2, and Oz), which makes this type of BCI unsuitable for some patients. We investigated the classification accuracy of SSVEP over the whole scalp, to evaluate the feasibility of building SSVEP-based BCIs that use additional channels. The classification accuracy distribution of the whole scalp increased with the electrode positions closer to the occipital region, and the classification accuracy increased with an increasing number of electroencephalogram data channels.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2017.03.123