Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Pre-research for Long-term Driving Monitoring System Based on Physiological Signals

Authors
Mengxing Liu, Hang Chen
Corresponding Author
Mengxing Liu
Available Online July 2017.
DOI
10.2991/icadme-16.2016.122How to use a DOI?
Keywords
Driving Monitoring, Ballistocardiogram, ECG, Dry contact electrode, Driver fatigue, Piezoelectric film.
Abstract

A novel long-term driving monitoring system with soft conductive foam and piezoelectric polymer film sensors was designed to enable measurement of two physiological signals: the electrocardiogram (ECG) and ballistocardiogram (BCG). The ECG was acquired using dry contact foam electrodes integrated into the steering wheel cover. The BCG was detected using a film type transducer material, which was installed beneath the driver's seat. The experimental results indicated that high- quality signals could be collected and transmitted to on-board computer or personal smart phone while driving at a steady state, except for the duration of one-hand driving operation, acceleration, braking and jolting. This work demonstrates that the unconstrained system can be used for monitoring the physical fatigue and cardiovascular health of people during the period of driving.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-249-7
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.122How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mengxing Liu
AU  - Hang Chen
PY  - 2017/07
DA  - 2017/07
TI  - Pre-research for Long-term Driving Monitoring System Based on Physiological Signals
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 685
EP  - 692
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.122
DO  - 10.2991/icadme-16.2016.122
ID  - Liu2017/07
ER  -