TY - GEN
T1 - A Comparison of Facial P300-Speller Paradigm Based on Famous Face and the Familiar Face
AU - Lu, Zhaohua
AU - Gao, Ning
AU - Zhou, Weiwei
AU - Yang, Jingjing
AU - Wu, Jinglong
AU - Li, Qi
N1 - Funding Information:
This work was financially supported by the National Natural Science Foundation of China (grant numbers 61773076 and 61806025), Jilin Scientific and Technological Development Program (grant numbers 20190302072GX and 20180519012JH) , and Scientific Research Project of Jilin Provincial Department of Education during the 13th Five-Year Plan Period (grant number JJKH20190597KJ).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Some studies about face recognition showed the human face with more relevant to oneself induces larger amplitude ERPs than the famous face. The famous face stimulus has been used to the P300-speller paradigm and improved the performance of P300-speller system. In our study, we designed a novel P300-speller paradigm using familiar face as stimulus, and the famous face P300-speller paradigm was as the control paradigm. We compared the ERPs and the classification accuracy between the two paradigms. The results showed that larger ERPs amplitude in the proposed paradigm than that in the control paradigm, and the average classification of proposed paradigm was greater than that in the control paradigm, while we didn't find the significant difference for classification accuracy between the two paradigms.
AB - Some studies about face recognition showed the human face with more relevant to oneself induces larger amplitude ERPs than the famous face. The famous face stimulus has been used to the P300-speller paradigm and improved the performance of P300-speller system. In our study, we designed a novel P300-speller paradigm using familiar face as stimulus, and the famous face P300-speller paradigm was as the control paradigm. We compared the ERPs and the classification accuracy between the two paradigms. The results showed that larger ERPs amplitude in the proposed paradigm than that in the control paradigm, and the average classification of proposed paradigm was greater than that in the control paradigm, while we didn't find the significant difference for classification accuracy between the two paradigms.
KW - Brain-computer interface
KW - P300 speller
KW - familiar face
KW - famous face
KW - paradigm
UR - http://www.scopus.com/inward/record.url?scp=85079162610&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079162610&partnerID=8YFLogxK
U2 - 10.1109/CISP-BMEI48845.2019.8965892
DO - 10.1109/CISP-BMEI48845.2019.8965892
M3 - Conference contribution
AN - SCOPUS:85079162610
T3 - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
BT - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
A2 - Li, Qingli
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
Y2 - 19 October 2019 through 21 October 2019
ER -