Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques

The recognition of emotions is one of the most challenging issues in human–computer interaction (HCI). EEG signals are widely adopted as a method for recognizing emotions because of their ease of acquisition, mobility, and convenience. Deep neural networks (DNN) have provided excellent results in em...

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Автори:	Rajamanickam Yuvaraj, Arapan Baranwal, A. Amalin Prince, M. Murugappan, Javeed Shaikh Mohammed
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2023-04-01
Серія:	Brain Sciences
Предмети:	hybrid models 3D-CNN deep neural networks machine learning classifiers emotion recognition
Онлайн доступ:	https://www.mdpi.com/2076-3425/13/4/685
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