Research Article

Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG

Table 3

Classification results of KNN, PNN, and fuzzy classifiers over 4 distraction levels based on sym8 using centroid and PSD features.

Distraction based on sym8 % CRSEN.SPEC.TPRFNR

Neutral
 Centroid
  KNN51.2953.5046.8648.8544.64
  PNN62.3965.5056.1558.9553.03
  Fuzzy71.1774.7364.0567.2660.49
 PSD
  KNN72.3375.9565.1068.3561.48
  PNN58.1361.0452.3254.9449.41
  Fuzzy77.7381.6169.9673.4566.07

Low
 Centroid
  KNN52.9354.6849.4451.0147.69
  PNN58.1461.0552.3354.9449.42
  Fuzzy67.0870.4360.3763.3957.01
 PSD
  KNN61.6964.7755.5258.3052.44
  PNN73.5677.2466.2069.5162.53
  Fuzzy79.2183.1771.2974.8567.33

Medium
 Centroid
  KNN75.7979.5868.2171.6264.42
  PNN65.8869.1859.3062.2656.00
  Fuzzy79.3283.2971.3974.9667.43
 PSD
  KNN77.7581.6469.9873.4866.09
  PNN83.2087.3774.8878.6370.72
  Fuzzy84.8089.0476.3280.1472.08

High
 Centroid
  KNN55.2658.0249.7352.2246.97
  PNN51.1952.7548.0749.4746.51
  Fuzzy64.8768.1158.3861.3055.14
 PSD
  KNN45.4947.7640.9442.9938.67
  PNN63.5766.7557.2160.0754.04
  Fuzzy70.9974.5463.8967.0860.34

Average
 Centroid
  KNN52.5755.1947.3149.6744.68
  PNN54.4057.1248.9651.4146.24
  Fuzzy70.6174.1463.5566.7360.02
 PSD
  KNN64.3267.5357.8860.7854.67
  PNN69.6273.1062.6665.7959.17
  Fuzzy79.2182.0970.3673.8866.45