A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices

Table 11

Comparative analysis of the model performance for multichannel CNN and single-channel CNN for subject 1 in the testing set.

Metric	Multi channel CNN	Single channel CNN
Accuracy	97.62	87.53
Recall “baseline”	0.9861	0.9524
Precision “baseline”	0.9703	0.9347
F1 score “baseline”	0.9716	0.9435
Recall “amusement”	0.9891	0.9311
Precision “amusement”	0.9956	0.9006
F1 score “amusement”	0.991	0.9132
Recall “stress”	0.9832	0.8991
Precision “stress”	0.9784	0.9157
F1 score “stress”	0.9693	0.9036
Recall “meditation”	0.9583	0.7658
Precision “meditation”	0.9752	0.8631
F1 score “meditation”	0.9680	0.8122
Recall “recovery”	0.9456	0.9136
Precision “recovery”	0.9711	0.9217
F1 score “recovery”	0.9620	0.9178