A Multimodal Hypovigilance Detection System Based on Fuzzy Logic and Transfer Learning-Reference-Cited by-同舟云学术

A Multimodal Hypovigilance Detection System Based on Fuzzy Logic and Transfer Learning

Published:2022-09-08 Issue:12 Volume:94 Page:1411-1427
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Snoun Ahmed,Bouchrika Tahani,Teyeb Ines,Jemai Olfa

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11265-022-01813-z.pdf

Reference44 articles.

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4. Picot, A., Caplier A., & Charbonnier, S. (2009). Driver drowsiness detection using both physiological and video information, Institut National Polytechnique de Grenoble - INPG, French, Thesis report.

5. Akrout, B., & Mahdi, W. (2015). Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration. Machine Vision and Applications (MVA), Springer-Verlag, vol. 26 (1), pp. 1 - 13.

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