Optimizing Facial Muscle Activation Features for Emotion Recognition: A Metaheuristic Approach Using Inner Triangle Points

Facial Expression Recognition (FER) is a critical component of affective computing, with deep learning models dominating performance metrics. In contrast, geometric approaches based on the Facial Action Coding System (FACS) offer explainability through using triangles aligned to facial landmarks. Th...

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Bibliografische Detailangaben

Hauptverfasser:	Erick G. G. de Paz, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre, Miguel-Angel Gil-Rios
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-01-01
Schriftenreihe:	Algorithms
Schlagworte:	evolutionary algorithms explainable artificial intelligence facial expression recognition geometric features inner triangle points machine learning
Online-Zugang:	https://www.mdpi.com/1999-4893/19/1/57
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