Every
year, accidents involving commercial truck drivers result in more than 110,000
people injured, and over 5,000 killed.1In response to these horrific
statistics, many people have sought an explanation as to what primarily causes
these accidents involving commercial trucks, and the conclusions have all been
the same: sleep deprivation.
When a
person is sleep deprived, they are unable to concentrate on the road, and they are
not fully aware of their actions or those around them. Moreover, their reaction
time is slower than normal. Since truck drivers often drive long-distance
trips, it is important to monitor when they are too tired, and to identify when
it becomes unsafe for them to properly drive on the roads in order to prevent
accidents. In order to do so, detection systems that aim to reduce the amount
of people who are injured and killed annually by sleep-deprived drivers have
been created. Many different innovators have utilized technology to create
systems to detect when drivers become tired. These efforts have varied, but
they all have the same goal in mind: to save lives.
With $48
billion dollars spent annually on the 341,000 motor vehicle crashes, car manufacturers
have begun to employ eye-tracking devices into everyday vehicles to prevent
accidents.1 Mercedes-Benz, Ford, Volvo and Volkswagen offer various
types of technologies, such as Fatigue Detection and Driver Assist, to aid
drivers and prevent deadly accidents. These manufacturers have implemented
forward facing cameras, and have taken into consideration steering wheel angles
and vehicle sensors to detect for sleep deprivation. 2 They
additionally are able to monitor eye movement and test for gaze direction and
eyelid movement. 2These methods involve using a camera that senses
eye movements and collects data to predict when a driver is drowsy.
The
method that Dr. Baura had presented at Loyola University’s Neuroscience Seminar
consisted of a sensor that is placed directly under the driver’s eye. Dr. Baura
discussed the current technology, PERCLOS, which monitors the percent of eyelid
closure over time. If signals suggest
that a person is falling asleep, a noise in the vehicle or vibration of the
seat will be triggered to go off in the truck in order to wake up the driver.
The concept of under the eye sensors is certainly a promising step in the right
direction towards detecting drowsiness and making the driver more alert.
Overall, people
have recognized the fact that countless injuries and deaths have occurred due
to sleep deprivation. Various different measures are being taken, whether it be
fatigue detection or driver assist, using cameras or under the eye sensors in
order to detect driver fatigue. While further advancement is necessary for many
of these eye trackers, they are all effectively working to reduce the amount of
collisions by taking preemptive measures to identify sleep deprivation.
Resources:
1.
Mitler, et al. “The Sleep of Long-Haul Truck Drivers,” https://luc.app.box.com/v/neuroseminar/file/251218239087,
date accessed December 9th, 2017.
2. J.
West, “Eye Tracking Technology is Making New Cars Safer,” 11 December 2014, http://www.eyegaze.com/eye-tracking-technology-is-making-new-cars-safer/,
date accessed December 9th, 2017.
3. Fernandez,
et al. ”Driver Distraction Using Visual-Based Sensors and Algorithms,” 16
November 2016, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134464/,
date accessed December 9th, 2017.
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