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Multiclass emotion prediction using heart rate and virtual reality stimuli

Background: Emotion prediction is a method that recognizes the human emotion derived from the subject’s psychological data. The problem in question is the limited use of heart rate (HR) as the prediction feature through the use of common classifiers such as Support Vector Machine (SVM), K-Nearest Ne...

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Bibliographic Details
Main Authors: Bulagang, A.F.,, James Mountstephens, Teo, Jason Tze Wi
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2021
Subjects:
Q Science (General)
QA Mathematics
Online Access:https://eprints.ums.edu.my/id/eprint/26871/1/Multiclass%20emotion%20prediction%20using%20heart%20rate%20and%20virtual%20reality%20stimuli.pdf
https://eprints.ums.edu.my/id/eprint/26871/
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098996733&origin=inward&txGid=57de277aaf928071e3bc389ed4ef741b
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https://eprints.ums.edu.my/id/eprint/26871/1/Multiclass%20emotion%20prediction%20using%20heart%20rate%20and%20virtual%20reality%20stimuli.pdf
https://eprints.ums.edu.my/id/eprint/26871/
https://www.scopus.com/record/display.uri?eid=2-s2.0-85098996733&origin=inward&txGid=57de277aaf928071e3bc389ed4ef741b

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