An fNIRS labeling image feature-based customized driving fatigue detection method-Reference-Cited by-同舟云学术

An fNIRS labeling image feature-based customized driving fatigue detection method

Published:2022-07-25 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Zeng Lingqiu,Zhou Kun,Han Qingwen^ORCID,Wang Yang,Guo Gang,Ye Lei

Funder

National Nature Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04325-7.pdf

Reference58 articles.

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3. Akerstedt T, Gillberg M (1990) Subjective and objective sleepiness in the active individual. Int J Neurosci 52(1–2):29–37

4. Akrout B, Mahdi W (2021) A novel approach for driver fatigue detection based on visual characteristics analysis. J Ambient Intell Human Comput 20:25

5. Alioua N, Amine A, Rziza M (2014) Driver’s fatigue detection based on yawning extraction. Int J Veh Technol 20:14

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