Featured Research

from universities, journals, and other organizations

Innovation improves drowsy driver detection

Date:
April 23, 2014
Source:
Washington State University
Summary:
A new way to detect when drivers are about to nod off behind the wheel has been developed. "Video-based systems that use cameras to detect when a car is drifting out of its lane are cumbersome and expensive. They don't work well on snow-covered or curvy roads, in darkness or when lane markers are faded or missing. Our invention provides an inexpensive and user-friendly technology that overcomes these limitations and can help catch fatigue earlier, well before accidents are likely to happen," said a developer of the device.

Researchers at Washington State University Spokane have developed a new way to detect when drivers are about to nod off behind the wheel.

Related Articles


Their recently patented technology is based on steering wheel movements -- which are more variable in drowsy drivers -- and offers an affordable and more reliable alternative to currently available video-based driver drowsiness detection systems.

"Video-based systems that use cameras to detect when a car is drifting out of its lane are cumbersome and expensive," said Hans Van Dongen, research professor at the WSU Sleep and Performance Research Center. "They don't work well on snow-covered or curvy roads, in darkness or when lane markers are faded or missing.

"Our invention provides an inexpensive and user-friendly technology that overcomes these limitations and can help catch fatigue earlier, well before accidents are likely to happen," said Van Dongen, who developed the technology with postdoctoral research fellow Pia Forsman.

The science behind the invention was published in the journal Accident Analysis & Prevention. Researchers analyzed data from two laboratory experiments conducted at WSU Spokane.

Twenty-nine participants were on a simulated 10-day night shift schedule that caused moderate levels of fatigue, as assessed by their performance on a widely used alertness test known as the psychomotor vigilance task (PVT). During each night shift, participants spent four 30-minute sessions on a high-fidelity driving simulator, which captured data for 87 different metrics related to speed, acceleration, steering, lane position and other factors.

Data analysis indicated that the two factors that best predicted fatigue were variability in steering wheel movements and variability in lane position. Researchers then showed that data on steering wheel variability can be used to predict variability in lane position early on, making it possible to detect driver drowsiness before the car drifts out of its lane.

"We wanted to find out whether there may be a better technique for measuring driver drowsiness before fatigue levels are critical and a crash is imminent," Van Dongen said. "Our invention provides a solid basis for the development of an early detection system for moderate driver drowsiness. It could also be combined with existing systems to extend their functionality in detecting severe driver drowsiness."

The solution uses inexpensive, easy-to-install parts -- including a sensor that measures the position of the steering wheel -- and could be included as part of a factory installation or as an aftermarket accessory.

A patent for this method of measuring driver drowsiness has been assigned to WSU under patent number 8676444, with Van Dongen and Forsman as the inventors.


Story Source:

The above story is based on materials provided by Washington State University. The original article was written by Judith Van Dongen. Note: Materials may be edited for content and length.


Journal Reference:

  1. Pia M. Forsman, Bryan J. Vila, Robert A. Short, Christopher G. Mott, Hans P.A. Van Dongen. Efficient driver drowsiness detection at moderate levels of drowsiness. Accident Analysis & Prevention, 2013; 50: 341 DOI: 10.1016/j.aap.2012.05.005

Cite This Page:

Washington State University. "Innovation improves drowsy driver detection." ScienceDaily. ScienceDaily, 23 April 2014. <www.sciencedaily.com/releases/2014/04/140423170911.htm>.
Washington State University. (2014, April 23). Innovation improves drowsy driver detection. ScienceDaily. Retrieved April 24, 2015 from www.sciencedaily.com/releases/2014/04/140423170911.htm
Washington State University. "Innovation improves drowsy driver detection." ScienceDaily. www.sciencedaily.com/releases/2014/04/140423170911.htm (accessed April 24, 2015).

Share This


More From ScienceDaily



More Matter & Energy News

Friday, April 24, 2015

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

3D Food Printing: The Meal of the Future?

3D Food Printing: The Meal of the Future?

AP (Apr. 23, 2015) — Developers of 3D food printing hope the culinary technology will revolutionize the way we cook and eat. (April 23) Video provided by AP
Powered by NewsLook.com
'Safest Bike Ever' Devised by British Entrepreneur

'Safest Bike Ever' Devised by British Entrepreneur

Reuters - Innovations Video Online (Apr. 23, 2015) — A British inventor says his Babel bike is the safest bicycle ever produced. Crispin Sinclair - son of famous British inventor Sir Clive Sinclair - hopes the bike&apos;s safety cage, double seatbelt, and host of other measures will inspire non-cyclists to get in the saddle. Jim Drury went to see it in action. Video provided by Reuters
Powered by NewsLook.com
First Successful Aerial Refueling of a Drone

First Successful Aerial Refueling of a Drone

Reuters - Innovations Video Online (Apr. 23, 2015) — The bat-wing U.S. Navy drone that became the first autonomous airplane to take off and land on an aircraft carrier accomplished yet another milestone on Wednesday, becoming the first unmanned aircraft to undergo aerial refueling. Ben Gruber reports. Video provided by Reuters
Powered by NewsLook.com
Human or Robot You Decide

Human or Robot You Decide

Reuters - Business Video Online (Apr. 23, 2015) — An ultra-realistic humanoid robot called &apos;Han&apos; recognises and interprets people&apos;s facial expressions and can even hold simple conversations. Developers Hanson Robotics hope androids like Han could have uses in hospitality and health care industries where face-to-face communication is vital. Matthew Stock reports. Video provided by Reuters
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins