Can Inter-Subject Associativity Predict Data-Driven BCI Performance?
Author:
Affiliation:
1. The University of Sydney,School of Biomedical Engineering,NSW,Australia,2006
2. The University of Adelaide,School of Electrical and Mechanical Engineering,SA,Australia,5005
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340490.pdf?arnumber=10340490
Reference20 articles.
1. Progress in Brain Computer Interface: Challenges and Opportunities
2. Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
3. A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
4. Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain–Computer Interface
5. Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
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