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Driver drowsiness detection based on respiratory signal analysis

Author
Guede, F.; Fernandez, M.; Ramos, J.; Garcia, M.
Type of activity
Journal article
Journal
IEEE access
Date of publication
2019-06-24
Volume
7
First page
81826
Last page
81838
DOI
10.1109/ACCESS.2019.2924481
Project funding
Development of methods for measuring the level of effort/recovery in physical exercise, based on cardiovascular activity, temperature and respiration
Repository
http://hdl.handle.net/2117/165267 Open in new window
URL
https://ieeexplore.ieee.org/document/8744224 Open in new window
Abstract
Drowsy driving is a prevalent and serious public health issue that deserves attention. Recent studies estimate around 20% of car crashes have been caused by drowsy drivers. Nowadays, one of the main goals in the development of new advanced driver assistance systems is the trustworthy drowsiness detection. In this paper, a drowsiness detection method based on changes in the respiratory signal is proposed. The respiratory signal, which has been obtained using an inductive plethysmography belt, has...
Citation
Guede, F. [et al.]. Driver drowsiness detection based on respiratory signal analysis. "IEEE access", 24 Juny 2019, vol. 7, p. 81826-81838.
Keywords
Advanced driver assistance systems, Driver drowsiness, Respiratory signal, Safety
Group of research
CREB - Biomedical Engineering Research Centre
GCEM - Electromagnetic Compatibility Group
IEB - Electronic and Biomedical Instrumentation

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