Electrodermography and heart rate sensing for multiclass emotion prediction in virtual reality: A preliminary investigation

This paper demonstrates a method for classifying multi-model emotions using a combination of Heart Rate (HR) and Electrodermography (EDG) signals with SVM (Support Vector Machine) as the classifier in Virtual Reality (VR). A wearable was used during the experiment to acquire the subject's HR an...

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Bibliographic Details

Main Authors:	Aaron Frederick Bulagang, James Mountstephens, Jason Teo
Format:	Proceedings
Language:	en en
Published:	Institute of Electrical and Electronics Engineers 2021
Subjects:	BF1-990 Psychology T1-995 Technology (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/32527/1/Electrodermography%20and%20heart%20rate%20sensing%20for%20multiclass%20emotion%20prediction%20in%20virtual%20reality%2C%20A%20preliminary%20investigation.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32527/4/Electrodermography%20and%20heart%20rate%20sensing%20for%20multiclass%20emotion%20prediction%20in%20virtual%20reality%2C%20a%20preliminary%20investigation.pdf https://eprints.ums.edu.my/id/eprint/32527/ https://ieeexplore-ieee-org.ezproxy.ums.edu.my/document/9509995
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