Investigation of different ML approaches in classification of emotions induced by acute stress

Investigation of different ML approaches in classification of emotions induced by acute stress

Background: Machine learning is becoming a common tool in monitoring emotion. However, methodological studies of the processing pipeline are scarce, especially ones using subjective appraisals as ground truth. New method: A novel protocol was used to induce cognitive load and physical discomfort, an...

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Bibliographic Details
Main Authors: Heba Sourkatti, Kati Pettersson, Bart van der Sanden, Mikko Lindholm, Johan Plomp, Ilmari Määttänen, Pentti Henttonen, Johanna Närväinen
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Affective computing
Emotion
Machine learning
Psychophysiology
Behavioral trait
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402310819X

Internet

http://www.sciencedirect.com/science/article/pii/S240584402310819X

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