Efficient Dynamic Emotion Recognition from Facial Expressions Using Statistical Spatio-Temporal Geometric Features

Automatic Facial Expression Recognition (AFER) is a key component of affective computing, enabling machines to recognize and interpret human emotions across various applications such as human–computer interaction, healthcare, entertainment, and social robotics. Dynamic AFER systems, which exploit im...

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Autor principal:	Yacine Yaddaden
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Big Data and Cognitive Computing
Assuntos:	emotion recognition facial expression recognition dynamic facial analysis spatio-temporal representation geometric features feature selection
Acesso em linha:	https://www.mdpi.com/2504-2289/9/8/213
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