Multiclass emotion prediction using heart rate and virtual reality stimuli

• Main Authors: Aaron Frederick Bulagang, James Mountstephens, Jason Teo
• Format: Article
• Language: English; English
• Published: Springer Open 2021
• Online Access: https://eprints.ums.edu.my/id/eprint/26840/1/Multiclass%20emotion%20prediction%20using%20heart%20abstract.pdf; https://eprints.ums.edu.my/id/eprint/26840/2/Multiclass%20emotion%20prediction%20using%20heart.pdf; https://eprints.ums.edu.my/id/eprint/26840/; https://doi.org/10.1186/s40537-020-00401-x
• Institution: Universiti Malaysia Sabah

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...