Facial geometric feature extraction based emotional expression classification using machine learning algorithms

Emotion plays a significant role in interpersonal communication and also improving social life. In recent years, facial emotion recognition is highly adopted in developing human-computer interfaces (HCI) and humanoid robots. In this work, a triangulation method for extracting a novel set of geometri...

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Veröffentlicht in:	PloS one Jg. 16; H. 2; S. e0247131
Hauptverfasser:	M, Murugappan, A, Mutawa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 18.02.2021 Public Library of Science (PLoS)
Schlagworte:	Accuracy Adult Algorithms Analysis Automation Biology and Life Sciences Communication Computer and Information Sciences Computer applications Emotion recognition Emotions Emotions - classification Facial expression Facial Recognition Feature extraction Female Happiness Humans Learning algorithms Machine Learning Male Medicine and Health Sciences Neural networks Pattern recognition Physical Sciences Research and Analysis Methods Research methodology Social Sciences Support vector machines Young Adult Kuwait
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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