Modifikasi Fitur dengan Differential Asymmetry untuk Meningkatkan Akurasi Klasifikasi EEG Motor Imagery
Brain-Computer Interface (BCI) technology has enabled people with motor disabilities to interact with their environment. The electroencephalograph (EEG) signals related to a motor imagery movement were used as a control signal. In this paper, EEG motor imagery signals from the 2-class data have been...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Gadjah Mada
2019-03-01
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| Series: | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| Subjects: | |
| Online Access: | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/493 |