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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Vydané v:	Physiological measurement Ročník 44; číslo 12
Hlavní autori:	Pan, Lizheng, Tang, Ziqin, Wang, Shunchao, Song, Aiguo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.12.2023
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
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