Transfer learning of bci using cur algorithm
The brain computer interface (BCI) are used in many applications including medical, environment, education, economy, and social fields. In order to have a high performing BCI classification, the training set must contain variations of high quality subjects which are discriminative. Variations will a...
Saved in:
Main Authors: | Fauzi, H., Shapiai, M. I., Khairuddin, U. |
---|---|
Format: | Article |
Published: |
Springer
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/86386/ https://dx.doi.org/10.1007/s11265-019-1440-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fundamental study on brain signal for bci-fes system development
by: A. Rahman, K. A., et al.
Published: (2012) -
Fundamental study on brain signal for BCI-FES System Development
by: A. Rahman, K. A., et al.
Published: (2012) -
The implementation of EEG transfer learning method using integrated selection for motor imagery signal
by: Ramadhani, A., et al.
Published: (2021) -
Thermal, structural and mechanical properties of melt drawn cur-loaded poly(lactic acid) fibers
by: Syed Shaharuddin, Sharifah Imihezri, et al.
Published: (2017) -
Combine strategy of treated activated charcoal and cell surface protein curli induction for enhanced performance in escherichia coli immobilization
by: Pachelles, S., et al.
Published: (2021)