Fatigue Detection Of Driver Using Surff Feature Extraction Algorithm Based On Eye Tracking
Miss.Snehal B. Meshram
M.Tech(3rd sem)
Department of Computer Science and Engineering
G.H.Raisoni Academy Of Engineering and Technology,Nagpur,India.
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
2014-2015
ABSTRACT:
This paper describes method of detecting early signs of fatigue in drivers and provide method for more security and attention for driver safety problem and to investigate driver mental state related to driver safety.As soon as the driver is falling in symptons of fatigue immediate message will be given to driver.In addition of the advance technology of Surff feature extraction algorithm is also added in the system for correct detection of status of driver.The Fatigue is detected in the system by the image processing method of comparing the images(frames) in the video and by using the human features we are eable to estimate the indirect way of detecting fatigue.The technique also focuses on modes of person when driving vehicle i.e awake, drowsy state or sleepy and sleep state.The system is very efficient to detect the fatigue and control the vehicle.
KEYWORDS: Surff Feature Extraction algorithm, Face detection, Eye localization, Eye state recognition, Face detection.
INTRODUCTION:
In recent trends of development many safety techniques and methods have been developed in detection of fatigue or drowsiness in vehicles for drivers.The development of
According to Vila (2006), data through the year 2003 indicated that more officers were killed by “unattended adverse events than during the commission of felonies.” Fatigue resulting from reduced sleep, both in duration and quality, is a significant factor in unintentional injuries and fatalities in the law enforcement community. Two hundred eighty seven (287) of the officers involved in the study reported being involved in a motor vehicle collision during the follow up period. Fatigue and drowsiness resulting from sleep disorders is believed to be a contributing factor in a significant number of these collisions. Across 2009-2010, more than a third of line of duty deaths were attributed to motor vehicle crashes (NLEMF, 2010). Sleepiness and fatigue are major factors in motor vehicle collisions and drivers suffering from excessive sleepiness are not only involved in more collisions, but the collisions are often more serious and result in more severe injuries (Drake, 2010). While, officers involved in the study regarded drowsy driving to be as serious and as dangerous as drunk driving, almost half of the participants reported falling asleep while driving 1-2 times a month due to excessive sleepiness (JAMA, 2011). The loss of only two hours of sleep over just a one week period was found to have the same decrease in performance comparable with individuals after 24 hours of staying awake.
Based on what the author stated in the introduction of Distracted Driver, “Driving a motor vehicle is serious business and you need to be well-rested and attentive in order to be a safe driver.”
Many levels of driver distraction are there depending on how it influences and impacts on the driver performance and accident hazard in different possible manners. Driving performance depends on various interrelated factors: ability of the user, experience of the user, driving task complexity, design and the activities with in-vehicle technologies. Performance of driving are defined in terms of following three measures:
In this article, Peters and Peters discuses about the risk of multitasking while driving. Not only they propose a problem, but also tries to give the reader an alternative ways of preventing the cause of an accident. He gives us three-risk factors that can reduce the chances of getting into an accident. They suggest having a printed and audible warning to warn the drivers not to use the device unless the vehicle is not moving, an integrated system “which all device are either shut off or out of driver’s sight when the vehicle is in motion” and finally, “ marketing and dealer restraint”. If these warnings are available in the vehicle, there should be a less chance to be distracted and cause an accident and also, this can be useful thing to create in the vehicle to remind the driver not to multitask while
Driver fatigue may not be illegal but it is lethal. Fatigue is a discreet killer that occurs for drivers no matter their age, their driving experience, how long the trip is or the time of day. In 2012, there were more fatigue related crashes than drink driving crashes in NSW. When someone doesn’t sleep for the previous 17 years before driving, they have an equal effect to someone who drives with a blood alcohol level of 0.05. A study by Nordbakke and Sagberg in 2007 concluded that drivers had a standard knowledge on preventative actions and the factors influencing the risk of falling asleep. But, despite this knowledge, drivers continue to drive on the road whilst tired.
SYS-006 The system shall detect the drowsiness level of driver by facial expression and warn the driver to take a break from driving.
Now-a-days driver drowsiness is one of the major causes for many motor vehicle catastrophes and it can impair the human brain as much as an alcohol or drugs can. It can be due to fatigue, lack of sleep, driving for a long time, circadian low rhythm and use of medication. According to the National Highway Traffic Safety Administration (NHTSA), over 1.5 million people die per year and over 40 million people have severe injuries. From the statistics, we can conclude that there is an urge for developing a system that can detect drowsiness and alert the driver before any hazard happens.
Distracted driving occurs when car drivers lose their attention and focus from the road by eating, texting, talking on the phone, doing their makeup, etc. This can be very easy to do in the busy world that we live in today. When a driver’s attention is taken from the road, they can easily get in an accident or cause others to get in serious accidents. These accidents often lead to injury or death. However, even if everyone survives or remains unharmed, it can cause a significant financial burden for car and road repairs. If this continues, the
Driver fatigue is a common occurrence for those who are driving long distances or driving at times of the day or night when they should naturally be sleeping. Becoming overtired when behind the wheel is dangerous and unfortunately highly common in a time where daily activities continue to move along, despite our need to rest.
Every day, thousands of individuals fall victim to motor vehicle accidents and obtain serious injuries. But in regards to innovations such as seat belts and airbags, this number has decreased. Safety innovations have changed throughout history. In the 1930’s, individuals were required to wear safety glasses in their vehicles, in the late 1950’s, occupants were allowed to choose whether they wanted headrests on the front seats, which we know understand to be a crucial part of a car as it prevents whiplash. More recently there have been new innovations such as tire pressure monitors and traction control which further contributes to reducing the number of roadside accidents. However, it is clear that there is still a large area for improvement.
Driving a vehicle is a very complex activity that demands proper decision-making, total concentration, good co-ordination and rapid reflexes. In order to drive safely, it is essential to be alert, aware and able to make quick decisions in response to a constant rapidly changing environment.
People now are starting to drive more and more to where they want to go. Driving can cause mental exhaustion from the concentration exerted. Without a break throughout the trip could can cause a drive to fall asleep behind the wheel of the car. Semi-truck drivers are required to pull over and rest after so many hours of driving to prevent accidents from happening. If a driver falls asleep behind the wheel, the car will start going in a different direction and could possibly collide with
A 2006 survey of short haul pilots revealed that 75% believed they had fatigue bad enough to be considered severe while operating an aircraft. When comparing to the previous two years, 81% reported that their fatigue while on duty had worsened. In addition, the pilots stated that their general overall health, including physical and psychological, had been negatively impacted (Jackson & Earl, 2006).
“Have you ever considered about which season has a higher risk of car accidents on the highway? Summer or winter?” I glanced to the right, kept my hands stable on the wheel.
Hichri et al. [16] proposed a robust system for drowsiness detection of drivers based on eye state in real-time. The system contained two main parts including detection of driver’s face using Viola and Jones method and eye