TY - JOUR
T1 - 提高驾驶注意力的个性化训练方案生成方法
AU - Liang, Wei
AU - Wang, Yu
AU - Liao, Zhangliang
AU - Li, Xiangyuan
N1 - Publisher Copyright:
© 2021, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.
PY - 2021/7
Y1 - 2021/7
N2 - Driving 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.
AB - Driving 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.
KW - Driving attention
KW - Personalized training
KW - Virtual driving training
UR - http://www.scopus.com/inward/record.url?scp=85111531488&partnerID=8YFLogxK
U2 - 10.15918/j.tbit1001-0645.2020.022
DO - 10.15918/j.tbit1001-0645.2020.022
M3 - 文章
AN - SCOPUS:85111531488
SN - 1001-0645
VL - 41
SP - 765
EP - 773
JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
IS - 7
ER -