EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach

<p dir="ltr">Much attention has been paid to the recognition of human emotions with the help of electroencephalogram (EEG) signals based on machine learning technology. Recognizing emotions is a challenging task due to the non-linear property of the EEG signal. This paper presents an...

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Bibliographic Details
Main Author: Muhammad Adeel Asghar (6724982) (author)
Other Authors: Muhammad Jamil Khan (20568881) (author), Fawad (20278068) (author), Yasar Amin (16864354) (author), Muhammad Rizwan (536386) (author), MuhibUr Rahman (18174361) (author), Salman Badnava (16864356) (author), Seyed Sajad Mirjavadi (20278071) (author)
Published: 2019
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Machine learning
emotion recognition
brain computer interface
bag of deep features
continuous wavelet transform
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