Table 3 Result comparison with other researchers
From: Multiclass emotion prediction using heart rate and virtual reality stimuli
Author | Signals | Participants | Stimuli | Classifier | Accuracy |
|---|---|---|---|---|---|
[11] | HR | 25 | China Emotional Video Stimuli (CEVS) | Gradient boosting decision tree | 84% (2 emotion classes only) |
[9] | HR | 5 | Android application | SVM | 79% (2 emotion classes only) |
Our results | HR | 20 | Virtual reality (VR) 360° videos | SVM, KNN, RF | 100% for intra-subject and 46.7% for inter-subject (4 emotion classes) |