Cross-subject emotion recognition using hierarchical feature optimization and support vector machine with multi-kernel collaboration

. Due to individual differences, it is greatly challenging to realize the multiple types of emotion identification across subjects. . In this research, a hierarchical feature optimization method is proposed in order to represent emotional states effectively based on peripheral physiological signals....

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Bibliographische Detailangaben

Veröffentlicht in:	Physiological measurement Jg. 44; H. 12
Hauptverfasser:	Pan, Lizheng, Tang, Ziqin, Wang, Shunchao, Song, Aiguo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.12.2023
Schlagworte:	Algorithms Emotions - physiology Humans Support Vector Machine multi-kernel function collaboration support vector machine feature optimization emotion recognition feature selection
ISSN:	1361-6579, 1361-6579
Online-Zugang:	Weitere Angaben
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