Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms

• Published in: Scientific reports Vol. 15; no. 1; pp. 19425 - 16
• Main Authors: Morsali, Mahdi, Ghaffari, Aboozar
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.06.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/985; 639/166/987; Accuracy; Algorithms; Attention; Attention mechanisms; Classification; Deep Learning; Facial deformation; Facial Expression; Humanities and Social Sciences; Humans; multidisciplinary; Pain; Pain - classification; Pain - diagnosis; Pain detection; Pain Measurement - methods; Pain perception; Science; Science (multidisciplinary); Transfer learning; Deep learning; Attention mechanisms; Facial deformation; Transfer learning; Facial expression; Pain detection

The automatic detection of pain through the analysis of facial expressions is indeed one of the most critical challenges in the healthcare system. One of the significant challenges in automatic pain detection from facial expressions is the variability in how individuals express pain and other emotio...