Abstract: The effects of individual differences on driver fatigue detection were researched. Eye movements data of 20 drivers were extracted based on the driving simulator experiment. The general detection model was developed based on support vector machine and the differences of detection results were analyzed. The significant level of influence on eye movements caused by driver fatigue and individual differences, as well as their comprehensive influence was analyzed using paired sample t test and ANOVA. Finally, individual models were developed and the conclusion was verified. The results indicate that eye movements are affected by individual differences and driver fatigue significantly, the effects of individual differences may bury differences caused by driving fatigue. Individual differences are important issues in building driver fatigue detection model.