Table 8.
Comparisons results based on 4-class based DFD systems by using 20 different subjects; recorded time is 40 min.
| Techniques | AL | VL | MD | ED |
|---|---|---|---|---|
| ANN | SE: 83.6, SP: 84.4, PR: 0.83, ACC: 83 | SE: 80.4, SP: 81.3, PR: 0.82, ACC: 81 | SE: 72.4, SP: 73.5, PR: 0.73, ACC: 72 | SE: 78.4, SP: 79.1, PR: 0.78, ACC: 9.0 |
| SVM | SE: 82.3, SP: 83.2, PR: 0.81, ACC: 82 | SE: 84.0, SP: 85.5, PR: 0.83, ACC: 84 | SE: 78.2, SP: 79.3, PR: 0.78, ACC: 77 | SE: 80.1, SP: 81.1, PR: 0.81, ACC: 1.5 |
| CNN+ANN | SE: 83, SP: 84, PR: 0.84, ACC: 84 |
SE: 84, SP: 85, PR: 0.84, ACC: 84 |
SE: 81.2, SP: 82.3, PR: 0.84, ACC: 84 | SE: 84.5, SP: 0.85, PR: 0.84, ACC: 85 |
| CNN+SVM | SE: 88.3, SP: 89.6, PR: 0.87, ACC: 88 | SE: 88.3, SP: 89, PR: 0.89, ACC: 89 | SE: 90.0, SP: 91.2, PR: 0.90, ACC: 90 | SE: 93.5, SP: 94.3, PR: 0.92, ACC: 93 |
| CNN with soft-max classification | SE: 83, SP: 84, PR: 0.84, ACC: 84 |
SE: 84, SP: 85, PR: 0.84, ACC: 84 |
SE: 81.2, SP: 82.3, PR: 0.84, ACC: 84 | SE: 84.5, SP: 0.85, PR: 0.84, ACC: 85 |
| CNN+RNN-LSTM | SE: 88.3, SP: 89.6, PR: 0.87, ACC: 88 | SE: 88.3, SP: 89, PR: 0.89, ACC: 89 | SE: 90.0, SP: 91.2, PR: 0.90, ACC: 90 | SE: 93.5, SP: 94.3, PR: 0.92, ACC: 93 |
AL: alert, VL: very alert; MD: moderately drowsy, ED: extremely drowsy, SE: sensitivity, specificity: SP, PR: precision, ACC: detection accuracy.