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. 2022 Sep 8;16:1000716. doi: 10.3389/fnins.2022.1000716

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.