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Facial geometric feature extraction based emotional expression classification using machine learning algorithms
2021
PLoS ONE
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 geometric features is proposed to classify six emotional expressions (sadness, anger, fear, surprise, disgust, and happiness) using computer-generated markers. The subject's face is recognized by using
doi:10.1371/journal.pone.0247131
pmid:33600467
pmcid:PMC7891769
fatcat:iiv6eoz5yvbepfvulrew2oir2y