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Hypovigilant System: An Approach for Lethargy Detection
by
Revati Bhor,
Pranjal Mahajan,
Omkar Dharmadhikari,
H.V. Kumbhar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 141 - Number 12 |
| Year of Publication: 2016 |
| Authors: Revati Bhor, Pranjal Mahajan, Omkar Dharmadhikari, H.V. Kumbhar |
10.5120/ijca2016909919
|
Revati Bhor, Pranjal Mahajan, Omkar Dharmadhikari, H.V. Kumbhar . Hypovigilant System: An Approach for Lethargy Detection. International Journal of Computer Applications. 141, 12 ( May 2016), 13-17. DOI=10.5120/ijca2016909919
@article{
10.5120/ijca2016909919,
author = {
Revati Bhor,
Pranjal Mahajan,
Omkar Dharmadhikari,
H.V. Kumbhar
},
title = { Hypovigilant System: An Approach for Lethargy Detection },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2016 },
volume = { 141 },
number = { 12 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = {
13-17
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume141/number12/24835-2016909919/
},
doi = { 10.5120/ijca2016909919 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:35.955013+05:30
%A Revati Bhor
%A Pranjal Mahajan
%A Omkar Dharmadhikari
%A H.V. Kumbhar
%T Hypovigilant System: An Approach for Lethargy Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 12
%P 13-17
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
There is much attentional impairment while driving that affect driver’s reaction. Among which driving while lethargic is one of the major causes behind road accidents, and exposes the driver to a large extent of crash risk compared to driving while alert. Therefore, the use of an assistive system that monitor a driver’s level of vigilance and alert the driver in case of lethargy can be significant in the prevention of accidents. This paper introduces a new approach towards detection of driver's lethargy based on yawning measurement and head movement. This involves several steps which includes the real time detection and tracking of head movement, the detection of yawning based on measuring the amount of changes in the mouth contour area. Test results express that the proposed system is able to measure the aforesaid parameters and detect driver’s lethargy.
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Index Terms
Computer Science
Information Sciences
Keywords