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Table 5 Classification rates using a SVM and a DBSCAN classifiers on the different feature set

From: Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors

Features sets

Number of features

SVM

DBSCAN

ACC (%)

Std

ACC (%)

All features

22

85.53

1.02

79.23

Facial expression features

16

83.14

1.16

78.5

Eye-based features

12

82.65

1.1

78

Head-based features

4

81.30

0.33

75.63

Driving behaviors features

5

84.14

0.66

78

Retained features

13

89.13

1.01

80.91