TABLE 2.
The average accuracy (ACC_100%) and F1-measure in different algorithms with single-mode and multi-mode data in valence and arousal classification.
| Method | Modality | Valence |
Arousal |
||
| ACC | F1-measure | ACC | F1-measure | ||
| JPDA | EEG | 0.529 | 0.563 | 0.549 | 0.615 |
| PPG | 0.561 | 0.603 | 0.551 | 0.589 | |
| GSR | 0.537 | 0.578 | 0.567 | 0.619 | |
| RES | 0.531 | 0.574 | 0.509 | 0.567 | |
| ALL | 0.541 | 0.576 | 0.568 | 0.626 | |
| JPDA-BPM | EEG | 0.536 | 0.605 | 0.525 | 0.624 |
| PPG | 0.536 | 0.63 | 0.551 | 0.582 | |
| GSR | 0.553 | 0.446 | 0.537 | 0.57 | |
| RES | 0.517 | 0.555 | 0.537 | 0.613 | |
| ALL | 0.533 | 0.615 | 0.573 | 0.613 | |
| SSJPDA | EEG | 0.604 | 0.617 | 0.614 | 0.645 |
| PPG | 0.588 | 0.537 | 0.633 | 0.634 | |
| GSR | 0.605 | 0.596 | 0.613 | 0.618 | |
| RES | 0.614 | 0.643 | 0.619 | 0.614 | |
| ALL | 0.617 | 0.627 | 0.635 | 0.643 | |
| SSJPDA-BPM | EEG | 0.621 | 0.645 | 0.629 | 0.655 |
| PPG | 0.62 | 0.619 | 0.648 | 0.652 | |
| GSR | 0.608 | 0.581 | 0.62 | 0.65 | |
| RES | 0.595 | 0.601 | 0.636 | 0.653 | |
| ALL | 0.636 | 0.653 | 0.644 | 0.679 | |
The numbers in bold indicate the highest value of the experimental results.