Exploring differences between self-report and electrophysiological indices of drowsy driving: A usability examination of a personal brain-computer interface device-Reference-Cited by-同舟云学术

Exploring differences between self-report and electrophysiological indices of drowsy driving: A usability examination of a personal brain-computer interface device

Published:2020-09 Issue: Volume:74 Page:27-34
ISSN:0022-4375
Container-title:Journal of Safety Research
language:en
Short-container-title:Journal of Safety Research

Author:

Dunbar Jerone,Gilbert Juan E.,Lewis Ben

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality

Reference47 articles.

1. Driver’s fatigue detection based on yawning extraction;Alioua;International Journal of Vehicle Design,2014

2. Help on the road: Effects of vehicle manual consultation in driving performance across modalities;Alvarez;International Journal of Human-Computer Studies,2015

3. The urban brain: Analysing outdoor physical activity with mobile EEG;Aspinall;British Journal of Sports Medicine,2015

4. Benz, M., 2015. E-Class Manual.

5. BMW, 2013. The BMW 5 Series Sedan.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of drowsiness using EEG signals in young Indonesian drivers;Heliyon;2023-09

2. Detection of Pilot’s Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks;Entropy;2023-07-10

3. Exploiting Blood Volume Pulse and Skin Conductance for Driver Drowsiness Detection;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

4. A Hierarchical Task Network-Based Approach to Generating Generic Tasks for Interface Usability Evaluation;Man-Machine-Environment System Engineering;2023

5. A systematic review of physiological signals based driver drowsiness detection systems;Cognitive Neurodynamics;2022-10-22