Dynamic Characteristics of Electroencephalogram Reflecting Driving-Experience-Dependent Performance Using Microstates-Reference-Cited by-同舟云学术

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Dynamic Characteristics of Electroencephalogram Reflecting Driving-Experience-Dependent Performance Using Microstates

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
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Author:

Iinuma Yuta¹,Ozawa Takuto²,Nobukawa Sou¹,Wagatsuma Nobuhiko³,Inagaki Keiichiro⁴

Affiliation:

1. Chiba Institute of Technology,Graduate School of Information and Computer Science,Japan

2. Chiba Institute of Technology,Department of Computer Science,Narashino,Japan

3. Toho University,Department of Information Science,Japan

4. Chubu University,Department of Artificial Intelligence and Robotics,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317208.pdf?arnumber=10317208

Reference55 articles.

1. Comparing Pupil Dilation, Head Movement, and EEG for Distraction Detection of Drivers

2. Real‐time eye tracking for the assessment of driver fatigue

3. A breadth-first survey of eye-tracking applications

4. Evaluating driver cognitive distraction by eye tracking: From simulator to driving

5. Visual attention in realistic driving situations: Attentional capture and hazard prediction

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