Research Article

Driver Fatigue Detection Method Based on Human Pose Information Entropy

Figure 13

When comparison of information entropy changes before and after adding the correction factor, the information entropy result (H) represents the result before adding the correction factor (red and black broken lines in the figure), while the information entropy result represents the result after adding the correction factor (yellow and blue broken lines in the figure). Among them, (a), (b), (c), and (d) represent the information entropy changes of Lleft, Lright, (S), and (x, y), respectively. S1, Lleft1, Lright1, and (x, y)1 represent the information entropy in the fatigue state, and S2, Lleft2, Lright2, and (x, y)2 represent the information entropy in the normal state.
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