Welcome to Journal of Automotive Safety and Energy,
汽车安全与节能学报

Journal Of Automotive Safety And Energy ›› 2019, Vol. 10 ›› Issue (4): 433-442.DOI: 10.3969/j.issn.1674-8484.2019.04.004

• Automotive Safety • Previous Articles     Next Articles

Differences of the motion sickness associated brain activity regions based on the driving simulator and fNIRS

ZHANG Chenyang1,4, LI Shuguang*2,4, LI Yaohua3, YAO Jin1, ZHU Lei1, WANG Min1   

  1. (1. School of Mechanical Engineering, Sichuan University, Chengdu 610065, China; 
    2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; 
    3. Chengdu first people’s Hospital, Chengdu 610000, China; 
    4. The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China）
  • Received:2019-03-22 Online:2019-12-31 Published:2020-01-01

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Abstract: The pathogenesis of motion sickness which appears on automated vehicles and electric vehicles needs to be explored to develop autonomous driving. The driving data, including driving time and distance, and cerebral oxygen exchange from 52 participants under the straight driving were collected and their differences were analyzed, based on the six-degree-of freedom driving simulator platform and noninvasive Functional NearInfrared Spectroscopy (fNIRS). The results show that the BA6, BA17 and BA18 areas of brain have the highest degree of activity, followed by the BA1, BA2, BA3 and BA4 areas, while the BA8, BA10 and BA40 areas are in the decreasing order. Brain Brodmann areas differ which are associated with motion sickness under the straight driving. These results will be helpful to have a better understood of the motion sickness from the perspective of the brain.

Key words: automated vehicles, brain activity, motion sickness, driving simulator, functional near-infrared spectroscopy (fNIRS)