Table 5 Overview of emotion recognition based on physiological signals
From: Development and application of emotion recognition technology — a systematic literature review
No | Author & year | Feature extraction | N | Emotions | Test sample | Pattern recognition methods | Accuracy |
|---|---|---|---|---|---|---|---|
1 | Prima Dewi Purnamasari (2015) | Relative wavelet energy, EEG | 72 | 1HAHV, 2LAHV, 3LALV, 4HALV | Patients | Back propagation neural network | 92.03% |
2 | Claudio Gentili (2016) | ECG | 8 | Mania, Depression | BD patients | SVM Friedman test | 68.57 ± 8.01% |
3 | Verma, Aakash (2018) | Skin conductivity, heart rate | NA | Happiness, Sadness, Anger, Neutrality | Patients | NA | NA |