Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis
Constructing a robust emotion-aware analytical framework using non-invasively recorded electroencephalogram (EEG) signals has gained intensive attentions nowadays. However, as deploying a laboratory-oriented proof-of-concept study toward real-world applications, researchers are now facing an ecological challenge that the EEG patterns recorded in real life substantially change across days (i.e.,...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2017
ISSN: 1662-5188
DOI: 10.3389/fncom.2017.00064