Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm

Humans have traditionally found it simple to identify emotions from facial expressions, but it is far more difficult for a computer system to do the same. The social signal processing subfield of emotion recognition from facial expression is used in a wide range of contexts, particularly for human-c...

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Veröffentlicht in:	Computational intelligence and neuroscience Jg. 2022; S. 1 - 10
Hauptverfasser:	Kumar Arora, Tarun, Kumar Chaubey, Pavan, Shree Raman, Manju, Kumar, Bhupendra, Nagesh, Yagnam, Anjani, P. K., Ahmed, Hamed M. S., Hashmi, Arshad, Balamuralitharan, S., Debtera, Baru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Hindawi 20.09.2022 John Wiley & Sons, Inc
Schlagworte:	Accuracy Algorithms Artificial neural networks Classification Coding Computer vision Computers Crowdsourcing Data mining Deep Learning Emotion recognition Emotions Emotions - physiology Face recognition Facial Expression Facial Recognition Feature extraction Feature recognition Feature selection Flow cytometry Humans Identification Machine learning Machine vision Mathematical optimization Methods Neural networks Optimization Pattern recognition Preprocessing Signal processing Stress Ethiopia India
ISSN:	1687-5265, 1687-5273, 1687-5273
Online-Zugang:	Volltext
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