Figure 1.
Flow process of training and testing the face emotion detection AI model using machine learning methods
Figure 2.
Block diagram of training and testing the ECG emotion detection AI model with machine learning methods
Figure 3.
Overall flowchart of facial emotion AI model training process
Figure 4.
Overall flowchart of facial emotion AI model testing process
Figure 5.
Overall flowchart of ECG emotion AI model training process
Figure 6.
Overall flowchart of ECG emotion AI model testing process
Figure 7.
Accuracy of training and validation of facial emotion AI model
Figure 8.
Loss of training and validation of facial emotion AI model
Table 1.
Results of experiment.
| Emotion | Probability (%) |
|---|---|
| Happy | 98.63 |
| Neutral | 56.60 |
| Sad | 39.58 |
| Surprise | 77.86 |
| Fear | 26.36 |
| Angry | 41.34 |
| Digust | 27.19 |
Figure 9.
Accuracy of training and validation of facial emotion AI model
Figure 10.
Accuracy of training and validation of facial emotion AI model
Figure 11.
Accuracy of training and validation of facial emotion AI model
Figure 12.
Classification report using random forest
Figure 13.
Display combining emotion and advice in the web browser