提高驾驶注意力的个性化训练方案生成方法

驾驶注意力是影响驾驶安全性的重要因素之一，但驾驶注意力的训练由于存在高危险性很难开展.针对此问题，本文提出了一种虚拟现实平台下的提高驾驶注意力的个性化训练方案生成方法，该方法借助虚拟现实头盔的眼动跟踪技术，采集用户的注意力习惯特性，针对用户的习惯特性，自动优化生成个性化驾驶训练方案.在实验中，用户可以在已生成的训练方案中进行个性化驾驶注意力训练，并进行训练后的水平评估，通过对比训练前与训练后的效果评价本文提出的方法，实验结果表明，该方法可有效提升用户的驾驶注意力水平，并且优于传统训练方法. 

Personalized Training Plan Generation for Improving Driving Attention

Dr iving attention is one of the most important factors in safe driving. Due to the danger during the training process,it is hard to train a driver to improve their attention in the driving behavior. In this paper,a personalized driving attention training plan generation method was proposed based on virtual reality platform. Based on the technique of eye tracking on the VR platform,gathering the attention habits of users,considering the driving behaviors,the method was arranged to generate personalized driving attention training plan automatically. In the experiment,the personalized driving attention training of users was carried out according to the generated training plan. Comparing the performance before training with the performance after the training,the effectiveness of the new method was evaluated. Experimental results show that the proposed method can effectively improve the user''s driving attention level and perform better than traditional method.