The Study on Online SSVEP based BCI system using CCA method

Brain Computer Interface (BCI) is a new type of human-computer interaction technology, which can be used for space remote operation and auxiliary control of devices. In this work, online Steady State Visual Evoked Potential (SSVEP) based BCI system using Canonical Correlation Analysis (CCA) method i...

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Bibliographic Details
Published in2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Vol. 4; pp. 1942 - 1946
Main Authors Yong, Yingqiong, Zang, Boyu, Yang, Jia, Li, Shengjia
Format Conference Proceeding
LanguageEnglish
Published IEEE 18.06.2021
Subjects
Aerospace electronics
Automation
BCI
CCA
Conferences
Correlation
Human computer interaction
Information processing
ITR
Online SSVEP
Visualization
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Summary:Brain Computer Interface (BCI) is a new type of human-computer interaction technology, which can be used for space remote operation and auxiliary control of devices. In this work, online Steady State Visual Evoked Potential (SSVEP) based BCI system using Canonical Correlation Analysis (CCA) method is studied. The SSVEP stimulus paradigm with 10 stimuli is designed. The effect of different playing time and intercepting time on recognition accuracy rate and Information Transmission Rate (ITR) is analyzed. The average accuracy rate for the case of playing 3s and intercepting 2.5s is more than 90%. The average ITR is higher than 40 bit/min.
ISSN:2693-2776
DOI:10.1109/IMCEC51613.2021.9482138