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author:

Peng, Faqiang (Peng, Faqiang.) [1] | Huang, Zhihua (Huang, Zhihua.) [2] (Scholars:黄志华)

Indexed by:

EI Scopus

Abstract:

Brain-Computer Interface (BCI) is a technology based on Neuroscience, Artificial Intelligence and Signal Processing. Its application in the fields of medical treatment and rehabilitation engineering has been widely studied. This paper aims to explore a new application of BCI in psychological experiments. We developed a c-VEP BCI system for psychological experiments, which enables the participants of the experiments to express their choices only by gazing at the intended option. In the traditional experiments, the participants are usually asked to transmit their decisions by pressing buttons. In this system, the options exhibited on the screen are flashed according to different m-sequences and the intentions of participants are recognized by classifying VEPs in EEG signals during the periods when they are focusing on the options. This system has been used to support a psychological experiment, showing the feasibility and value of introducing BCI into psychological studies. © 2019 IEEE.

Keyword:

Artificial intelligence Binary sequences Biomedical engineering Brain computer interface Image processing

Community:

  • [ 1 ] [Peng, Faqiang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Huang, Zhihua]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • 黄志华

    [huang, zhihua]college of mathematics and computer science, fuzhou university, fuzhou, china

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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