Table 1 Comparison of related HR-based emotion prediction studies
From: Multiclass emotion prediction using heart rate and virtual reality stimuli
Author | Signals | Participants | Stimuli | Feature extraction | Classifier | Accuracy |
|---|---|---|---|---|---|---|
[11] | HR | 25 | China Emotional Video Stimuli (CEVS) | Amplitude Slope Information Entropy and others | Gradient Boosting Decision Tree | 84% (2 emotions with 1 neutral label) |
[9] | HR | 5 | Android Application | Discrete Wavelet Transform (DWT) | SVM | 79% (2 emotions with 1 neutral label) |