Evaluation studies on ship driving fatigue based on BP artificial neural network

Driver fatigue is an important reason that leads to a vicious accident, it has important practical significance to evaluate the ship driver´s fatigue and reduce accidents caused by driver fatigue. On the basis of a comprehensive analysis of the factors that influenced driving fatigue, the paper proposed an evaluation on ship driving fatigue which using driver eye´s closure time, the beat frequency of sight line, pupil diameter size as 3 indicators, building the evaluation model based on BP artificial neural network. Finally, combining with the experiment based on eye tracker SMI iView X HED, it verifies and analyses the evaluation model. The paper provides a feasible method for the evaluation on ship driving fatigue.