Table 2.
EEG data are used to classify the emotions of healthier individuals (up to four electrodes).
| Investigation | Emotional responses to be targeted | Method | Accuracy | Test |
|---|---|---|---|---|
| [71] | Happiness, rage, sorrow, fear, relaxation | Support vector machine (SVM) | 73.32 | Leave-one-out cross-testing |
| [72] | Engagement, perplexity, dissatisfaction, positive attitude | SVM, k-nearest neighbors (KNN) | 95.69 | — |
| [73] | Sorrow, displeasure | Multiclass support vector machine classifier | 84.83 | — |
| [70] | Arousal, sensitivity | SVM, K-means | — | — |
| [67] | Dissatisfaction, satisfaction | KNN | 86.73 | 5-fold cross-testing |
| [68] | Dissatisfaction, satisfaction | Multilayer perceptron (MLP) | 79.98 | 5-fold cross-testing |
| [69] | Boredom, frustration | Analysis | — | — |