Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification
Brain-Computer Interface (BCI) is a way to translate human thoughts into computer commands. One of the most popular BCI type is Electroencephalography (EEG)-based BCI, where motor imagery is considered one of the most effective ways. Previously, to extract useful information, various filters are int...
| Main Authors: | Prathama, Y.B.H., Shapiai, M.I., Aris, S.A.M., Ibrahim, Z., Jaafar, J., Fauzi, H. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20334 / |
| Published: |
Springer Verlag
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028964612&doi=10.1007%2f978-981-10-6463-0_51&partnerID=40&md5=26f8e0a1e038b12efbcc67b450fe51c3 http://eprints.utp.edu.my/20334/ |
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