Proceedings of the 2015 International Conference on Education, Management, Information and Medicine

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An Android-Based Driver Drowsiness Monitoring System

Authors
Jianfeng Hu, Zhen-dong Mu, Ping Wang
Corresponding Author
Jianfeng Hu
Available Online April 2015.
DOI
10.2991/emim-15.2015.103How to use a DOI?
Keywords
Android; EEG; Driver; Drowsiness
Abstract

The traffic accident has become one of important factors of abnormal deaths, and the status of the driver is especially important for traffic accident. This paper describes an Android-based driver drowsiness monitoring system. The system collect EEG signal of driver, analysis EEG data and extract feature, determine the condition of drowsiness, if yes, then give alert.

Copyright
© 2015, 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 2015 International Conference on Education, Management, Information and Medicine
Series
Advances in Economics, Business and Management Research
Publication Date
April 2015
ISBN
10.2991/emim-15.2015.103
ISSN
2352-5428
DOI
10.2991/emim-15.2015.103How to use a DOI?
Copyright
© 2015, 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

risenwbib
TY  - CONF
AU  - Jianfeng Hu
AU  - Zhen-dong Mu
AU  - Ping Wang
PY  - 2015/04
DA  - 2015/04
TI  - An Android-Based Driver Drowsiness Monitoring System
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 521
EP  - 524
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.103
DO  - 10.2991/emim-15.2015.103
ID  - Hu2015/04
ER  -