Analysis of braking intention based on fNIRS in driving simulation experiments
Analysis of braking intention based on fNIRS in driving simulation experiments
复制标题
驾驶模拟实验中基于fNIRS的制动意图分析
DOI：
10.1049/iet-its.2018.5304
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发表时间：
2019-07
影响因子：
2.7
通讯作者：
Ji Hao
中科院分区：
文献类型：
--
作者：
Zhu Lei;Li Shuguang;Li Yaohua;Wang Min;Zhang Chenyang;Li Yanyu;Yao Jin;Ji Hao
协同驾驶是指先进驾驶辅助系统（ADAS）与驾驶员共享控制，共同完成驾驶任务的概念。其中一项关键技术是ADAS能够真实的识别驾驶员的驾驶意图，实现一致的驾驶决策。基于驾驶模拟器（DS）和功能近红外光谱（fNIRS）实验，建立了基于机器学习算法的驾驶员制动意图识别模型，并通过参数测试分析了驾驶员制动意图的大脑皮层活动机制。本研究表明，所建立的模型的检验准确率为90.91%。此外，制动意图驾驶员和匀速驾驶员大脑皮层的Brodmann 7区（BA 7）、BA 17和BA 40的活动存在显著差异（P <0.05）。
p
<; 0.05）。本研究不仅首次利用fNIRS技术识别了驾驶员的驾驶意图，而且分析了驾驶员产生制动意图时的大脑活动。为进一步研究人的感知和驾驶员驾驶意图识别的驾驶认知模型奠定了基础。
Cooperative driving refers to a notion that advanced driver assistance system (ADAS) sharing the control with human driver and completing driving task together. One of the key technologies is that the ADAS can identify the driver's driving intention in real time to implement consistent driving decisions. Based on driving simulator (DS) and functional near-infrared spectroscopy (fNIRS) experiments, this study established a model of driver's brake intention identification with machine-learning algorithms and analysed cerebral cortex activity mechanism of the driver's brake intention with parametric test. This study suggested that the test accuracy of the model established here was 90.91%. Moreover, the activity in the Brodmann area 7 (BA7), BA17, and BA40 in cerebral cortex was significantly different between the driver with braking intention and those with driving at constant speed (
p
<; 0.05). The study presented here not only identified the driver's driving intention through fNIRS for the first time, but also analysed the brain activity of the drivers when he had the braking intention. It lays a foundation for the future research on the driving cognitive model about human perception and driver's driving intention identification.
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影响因子：
2.9
作者：
Yoshino K;Oka N;Yamamoto K;Takahashi H;Kato T
通讯作者：
Kato T
影响因子：
3.7
作者：
Foy HJ;Runham P;Chapman P
通讯作者：
Chapman P
DOI：
10.1016/j.trf.2004.09.006
发表时间：
2004-07-01
影响因子：
4.1
作者：
Graydon, FX;Young, R;Green, C
通讯作者：
Green, C
影响因子：
3.7
作者：
Oka N;Yoshino K;Yamamoto K;Takahashi H;Li S;Sugimachi T;Nakano K;Suda Y;Kato T
通讯作者：
Kato T
影响因子：
1.6
作者：
L. Xiong;G. Teng;Zhuoping Yu;W. X. Zhang;Yuan Feng
通讯作者：
L. Xiong;G. Teng;Zhuoping Yu;W. X. Zhang;Yuan Feng