Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

Understanding human affective states such as emotion and stress is crucial for both practical applications and theoretical research, driving advancements in the field of affective computing. While traditional approaches often rely on generalized models trained on aggregated data, recent studies high...

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Veröffentlicht in:	Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies mobile, wearable and ubiquitous technologies, 2024-11, Vol.8 (4), p.1-35, Article 206
Hauptverfasser:	Han, Yunjo, Zhang, Panyu, Park, Minseo, Lee, Uichin
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied computing Human-centered computing Life and medical sciences Ubiquitous and mobile computing
Online-Zugang:	Volltext
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