Research Article
Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG
Table 4
Comparison of maximum mean distraction classification rate of present work with that of earlier works.
| Reference | Physiological signal | Database | Feature extraction | Classifier | % Accuracy |
| [26] | EEG | 5 Subjects 15 Ch | FFT | Fisher linear discriminate 2 Class | 89.4 | [27] | EEG, EOG | 5 Subjects 30 Ch | FFT | SVM 3 Classes | 75.9 | [28] | EEG, vehicle behaviour | 4 Subjects 15 Ch | WT | SVM 2 Class | 92 | [29] | EEG | 13 Subjs 2 Channels | WT | Self orgnizing map 3 Classes | 60 | Present work | EEG | 50 Subjects 14 Ch | DWPT + FFT | Fuzzy 2 Classes | 98.7 | Fuzzy 4 Classes | 79.21 |
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