TY - GEN
T1 - A partial least squares-based stimulus frequency recognition model for steady-state visual evoked potentials detection
AU - Wang, Ruimin
AU - Leng, Yue
AU - Yang, Yuankui
AU - Wu, Wen
AU - Iramina, Keiji
AU - Ge, Sheng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - With shorter calibration times and higher information transfer rates, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been studied most activity in recent years. Target identification is the ongoing core task in BCI researches, and plays a significant role in practical applications. In order to improve the performance of SSVEP-based BCI system, we proposed a partial least squares (PLS)-based stimulus frequency recognition model for SSVEP detection. Moreover, we compared the proposed method with canonical correlation analysis (CCA) and least absolute shrinkage and selection operator (LASSO) method, respectively. The experiment results showed that PLS can not only extract the SSVEP features effectively, but also can increase the classification accuracies of SSVEP-based BCI systems.
AB - With shorter calibration times and higher information transfer rates, steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been studied most activity in recent years. Target identification is the ongoing core task in BCI researches, and plays a significant role in practical applications. In order to improve the performance of SSVEP-based BCI system, we proposed a partial least squares (PLS)-based stimulus frequency recognition model for SSVEP detection. Moreover, we compared the proposed method with canonical correlation analysis (CCA) and least absolute shrinkage and selection operator (LASSO) method, respectively. The experiment results showed that PLS can not only extract the SSVEP features effectively, but also can increase the classification accuracies of SSVEP-based BCI systems.
UR - http://www.scopus.com/inward/record.url?scp=84942511106&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942511106&partnerID=8YFLogxK
U2 - 10.1109/BMEI.2014.7002863
DO - 10.1109/BMEI.2014.7002863
M3 - Conference contribution
AN - SCOPUS:84942511106
T3 - Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
SP - 699
EP - 703
BT - Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
Y2 - 14 October 2014 through 16 October 2014
ER -