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.