Research Article

A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy

Table 2

Sample fatigue test table.

Sample numberFacial motion information entropyActual driving statusPredictive driving status

1[1.23, 0.96, 0.56, 1.20, 1.40, 0.49, 0.65, 0.45, 0.75]FatigueFatigue
2[1.10, 1.42, 0.86, 0.52, 0.97, 0.95, 1.50, 0.88]FatigueFatigue
3[2.50, 2.42, 2.65, 1.93, 2.01, 2.89, 3.32, 3.21]NonfatigueNonfatigue
4[0.57, 0.87, 0.34, 0.67, 0.95, 1.12, 1.21, 1.29, 1.01]FatigueFatigue
5[1.98, 1.87, 1.93, 2.03, 3.23, 3.42, 3.34, 2.72]NonfatigueNonfatigue
6[0.62, 0.57, 0.88, 1.02, 1.42, 1.45, 0.92]FatigueFatigue
7[2.22, 1.52, 2.33, 2, 78, 3.11, 2.07, 2.98, 3.04]NonfatigueNonfatigue
8[1.35, 1.02, 1.22, 0.78, 0.56, 0.22, 0.24, 0.31, 0.55]FatigueFatigue
9[2.44, 2.57, 2.72, 1.98, 1.42, 1.30, 2.23, 2.89, 2.66]NonfatigueFatigue
10[1.50, 0.89, 0.76, 0.71, 0.65, 0.88, 0.31, 0.42, 0.51]FatigueFatigue