关键词: 目视检查, 复合材料结构, 眼动, 瞳孔直径, 平均注视时间, 疲劳, 支持向量机(SVM)

Abstract: Fatigue is an important cause of human error in visual inspection of civil aircraft composite material components. The measurement of fatigue has great implications on reduction of human error and flight safety. To measure and detect fatigue, an eye movement behavior based method is proposed. The experimental scene of composite material visual inspection is established. Tobii eye tracking is used to extract the eye movement data in the experiment under normal working condition and fatigue condition. The relationships between fatigue and means of pupil diameter, fixation time, fixation frequency, saccadic time, saccadic frequency, fixation heat map and saccadic velocity were analyzed. Then, three kinds of eye movement indexes, namely, pupil diameter, saccadic velocity and average fixation time, which could represent fatigue, are extracted to construct feature vectors for Support Vector Machine (SVM) method to build the fatigue detection model. It is found that the average fixation time is longer, and the saccadic velocity and the pupil diameter are smaller under fatigue in visual inspection, especially the pupil of the right eye. The SVM method with kernel function as radial basis function and gaussian function has a good effect on fatigue detection. The experimental results show that the SVM method using the eye movement feature vector can effectively detect the fatigue state in visual inspection.

Key words: visual inspection, composite material component, eye movement, pupil diameter, average fixation time, fatigue, support vector machine (SVM)