Research Article
A New Feature Analysis Approach to Selecting Channels of EEG for Fatigue Driving
Table 6
Recognition accuracy of each channel subset based on KNN classifier (Unit: %).
| Number of channels | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| Theta_Std+FE | 85.93 | 93.58 | 96.03 | 96.72 | 97.07 | 99.45 | 99.27 | 99.33 | 99.27 | 99.42 | Number of channels | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | Theta_Std+FE | 99.27 | 99.40 | 99.30 | 99.33 | 99.38 | 99.33 | 99.28 | 99.38 | 99.35 | 99.32 | Number of channels | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | Theta_Std+FE | 99.37 | 99.30 | 99.30 | 99.20 | 99.32 | 99.23 | 99.32 | 99.32 | 99.30 | 99.23 |
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