Emotion classification with multichannel physiological signals using hybrid feature and adaptive decision fusion-Reference-Cited by-同舟云学术

Emotion classification with multichannel physiological signals using hybrid feature and adaptive decision fusion

Published:2022-01 Issue: Volume:71 Page:103235
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Yan MaoSong,Deng Zhen,He BingWei,Zou ChengSheng,Wu Jie,Zhu ZhaoJu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference38 articles.

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3. Detecting naturalistic expressions of nonbasic affect using physiological signals;AlZoubi;IEEE Transactions on Affective Computing,2012

4. Capturing emotion reactivity through physiology measurement as a foundation for affective engineering in engineering design science and engineering practices;Balters;Journal of Intelligent Manufacturing,2017

5. A guide for analysing electrodermal activity (eda) & skin conductance responses (scrs) for psychological experiments;Braithwaite;Psychophysiology,2013

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