Exploring standalone electrodermography for multiclass VR emotion prediction using KNN

• Main Authors: A F Bulagang, Mountstephens, James, Teo, Jason Tze Wi
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2021
• Subjects: QA71-90 Instruments and machines
• Online Access: https://eprints.ums.edu.my/id/eprint/30320/1/Exploring%20standalone%20electrodermography%20for%20multiclass%20VR%20emotion%20prediction%20using%20KNN%20ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/30320/2/Exploring%20standalone%20electrodermography%20for%20multiclass%20VR%20emotion%20prediction%20using%20KNN%20FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/30320/; https://iopscience.iop.org/article/10.1088/1742-6596/1878/1/012061/pdf

The use of Electrodermography (EDG) in emotion classification is emerging in recent studies, however, it is still limited when compared to the use of other physiological signals such as Electroencephalography (EEG) and Electrocardiography (ECG). Galvanic Skin Response (GSR) or EDG can be used in stu...