Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
نویسندگان
چکیده
منابع مشابه
Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the learning principles on modeling emotion classifiers from heterogeneous features. However, the conventional subject-specific classifiers may induce additional burdens to each subject for preparing mul...
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ژورنال
عنوان ژورنال: Frontiers in Neurorobotics
سال: 2017
ISSN: 1662-5218
DOI: 10.3389/fnbot.2017.00019