Table 6 Comparative based on various EEG dataset.

From: Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion

Dataset

Techniques

Prediction Accuracy

Precision

Recall

F1_Score

SNR

RMSE

MAP

Physionet

STFT

0.81

0.75

0.66

0.54

0.41

0.32

0.51

SVM_LDA

0.85

0.77

0.68

0.59

0.43

0.34

0.53

MLCDT-VGG-16

0.89

0.79

0.72

0.61

0.45

0.36

0.55

Emotiv EPOC+

STFT

0.85

0.81

0.73

0.63

0.47

0.39

0.56

SVM_LDA

0.88

0.83

0.75

0.65

0.49

0.42

0.58

MLCDT-VGG-16

0.92

0.85

0.78

0.71

0.52

0.44

0.60

Back to article page