Enhancing EEG Signals Recognition Using ROC Curve

Mental tasks, such as calculation, reasoning, motor imagery, etc., can be recognized by the pattern of electroencephalograph (EEG) signals. So EEG signal recognition plays an important role in brain-computer interaction (BCI). In this study, to enhance the ability of classifiers such as support vect...

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Bibliographic Details
Main Authors: Takashi Kuremoto, Yuki Baba, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi
Format: Article
Language:English
Published: Atlantis Press 2018-03-01
Series:Journal of Robotics, Networking and Artificial Life (JRNAL)
Subjects:
EEG
FFT
ROC
AUC
SVM
Online Access:https://www.atlantis-press.com/article/25894372.pdf