Mathematical Problems in Engineering / 2013 / Article / Tab 2

Research Article

Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG

Table 2

Classification accuracy of different classifiers for different wavelets over 4 distraction levels for both two features.

NeutralLowMediumHighAverage
CentroidPSDCentroidPSDCentroidPSDCentroidPSDCentroidPSD

Fuzzy
 db471.1777.7367.0879.2179.3284.8064.8770.9970.6178.18
 db864.1773.2477.2989.9075.9971.7363.6179.4170.2778.57
 sym862.5172.7982.6191.9981.0170.6063.6579.2172.4579.21
 coif565.3674.9463.1966.3076.8178.2262.6863.5567.0170.75
PNN
 db462.3958.1358.1473.5665.8883.2031.1963.5754.4069.62
 db852.6450.3172.9290.7957.5664.2625.9275.4852.2670.21
 sym825.0049.2969.2291.2977.5063.3153.9179.2256.4170.78
 coif555.4268.5250.9334.0158.5060.8424.8025.4247.4147.20
KNN
 db444.2972.3334.9361.6975.7977.7555.2645.4952.5764.32
 db825.3166.3460.2590.1371.5446.3552.9865.0452.5266.97
 sym850.7065.5378.5591.2969.0044.6628.2070.9156.6168.10
 coif531.2952.4524.7456.9170.5773.4950.7453.0044.3458.97

Bold values refers to maximum average values.

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