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

• Main Authors: Aaron Frederick Bulagang, James Mountstephens, Jason Teo
• Format: Proceedings
• Language: English; English
• 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
• Institution: Universiti Malaysia Sabah

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...