A Canonical Correlation Analysis-Based Transfer Learning Framework for Enhancing the Performance of SSVEP-Based BCIs

A steady-state visual evoked potential (SSVEP)- based brain-computer interface (BCI) can either achieve high classification accuracy in the case of sufficient training data or suppress the training stage at the cost of low accuracy. Although some researches attempted to conquer the dilemma between p...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Qingguo Wei, Yixin Zhang, Yijun Wang, Xiaorong Gao
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2023-01-01
Saila:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Gaiak:	Brain-computer interface steady-state visual evoked potential transfer learning feature extraction intra-and inter-subject canonical correlation analysis
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10159132/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!