NDLI: A basic study on the prevention of drowsy driving using the change of neck bending angle and the sitting pressure distribution

Content Provider	IEEE Xplore Digital Library
Author	Murata, A. Koriyama, T. Hayami, T.
Copyright Year	2012
Description	Author affiliation: Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan (Murata, A.; Koriyama, T.; Hayami, T.)
Abstract	Recently, in Japan, the percentage of the death toll in traffic accidents due to drowsy driving is the most dominant in all death tolls in traffic accidents. Therefore, it is essential for automotive manufacturers to develop a warning system of drowsy driving. A lot of studies are conducted to prevent traffic accident due to drowsy driving, and make an attempt to assess drowsiness by physiological measures such as EEG. However, it is difficult to use such equipment for predicting drowsiness, because it is difficult to equip an automotive cockpit with such equipment due to expensiveness and measurement noise. As more convenient measure used to predict drowsiness, it was examined whether the neck bending angle and the sitting pressure distribution could be used to discriminate the arousal level. The effectiveness of these convenient measures was experimentally assessed. In order to prevent traffic accidents due to drowsy driving, an attempt was made to predict drowsiness (low arousal state) using the change of neck bending angle and sitting pressure distribution. As a result, these measures were found to be useful for evaluating arousal level and predicting arousal level in advance.
Starting Page	274
Ending Page	279
File Size	3195063
Page Count	6
File Format	PDF
ISBN	9781467322591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Neck Pressure measurement Atmospheric measurements Particle measurements Electroencephalography Accidents Automotive engineering COP (Center of Pressure) ITS prediction of drowsiness neck bending angle sitting pressure distribution
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An attempt to prevent traffic accidents due to drowsy driving -Prediction of drowsiness by Bayesian estimation

Evaluation of Drowsiness by EEG analysis - Basic Study on ITS Development for the Prevention of Drowsy Driving -

Detection methods for a low-cost accelerometer-based approach for driver drowsiness detection

Review on drowsy driving: becoming dangerous problem.

A study of classification of the level of sleepiness for the drowsy driving prevention

Classifying Features of Electroencephalography Signal to Detect Driver Drowsiness in the Early Drowsy Stage

Online driver's drowsiness estimation using domain adaptation with model fusion

EEG Electrode Locations and their Signal Sensitivities in Driver Drowsiness Measurement(Biosensors: Data Acquisition, Processing and Control)

Reducing Drowsy Driving Crashes

A basic study on the prevention of drowsy driving using the change of neck bending angle and the sitting pressure distribution

Similar Documents

An attempt to prevent traffic accidents due to drowsy driving -Prediction of drowsiness by Bayesian estimation

Evaluation of Drowsiness by EEG analysis - Basic Study on ITS Development for the Prevention of Drowsy Driving -

Detection methods for a low-cost accelerometer-based approach for driver drowsiness detection

Review on drowsy driving: becoming dangerous problem.

A study of classification of the level of sleepiness for the drowsy driving prevention

Classifying Features of Electroencephalography Signal to Detect Driver Drowsiness in the Early Drowsy Stage

Online driver's drowsiness estimation using domain adaptation with model fusion

EEG Electrode Locations and their Signal Sensitivities in Driver Drowsiness Measurement(Biosensors: Data Acquisition, Processing and Control)

Reducing Drowsy Driving Crashes

A basic study on the prevention of drowsy driving using the change of neck bending angle and the sitting pressure distribution