Authors :
Leily Fatmawati; Arief Subakti Ariyanto; Rajwa Kalila Firdausi; Dea Rakis Agustina
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3WxCYBN
DOI :
https://doi.org/10.5281/zenodo.7490858
Abstract :
One of the human factors that cause traffic
accidents is sleepiness. This is caused by the circadian
rhythm or our body's biological clock which is influenced
by body temperature, alertness level, and body energy
level. The sleep detection system known as "Microsleep
Detection Base On Arduino" is designed to detect heart
rate and eye blinking data via Arduino. This tool uses an
impulse sensor placed on the tip of the index finger and
a proximity sensor placed on assistive devices such as
glasses. The proximity sensor is an electronic sensor that
can detect the presence of objects in the vicinity without
any physical touch that is used to determine whether a
person's eyes are open or closed. The method used in this
study is the behavioral measure method, namely by
paying attention to the movement of the blinking of the
eye because if a person is sleeping, the distance between
the two eyelids narrows, and the frequency of blinking
decreases until he falls asleep. So if this happens the
glasses will give a warning as soon as possible. Based on
this background, the author's goal is to utilize or develop
glasses as a tool that can provide a warning as quickly as
possible to sleepy drivers to prevent traffic accidents. The
results of this experiment can be helpful for the
development of real-time sleep detection and help
manage sleepiness to avoid accidents.
Keywords :
Microsleep, Impulse, Proximity, Traffic Accidents, Sleepiness.
One of the human factors that cause traffic
accidents is sleepiness. This is caused by the circadian
rhythm or our body's biological clock which is influenced
by body temperature, alertness level, and body energy
level. The sleep detection system known as "Microsleep
Detection Base On Arduino" is designed to detect heart
rate and eye blinking data via Arduino. This tool uses an
impulse sensor placed on the tip of the index finger and
a proximity sensor placed on assistive devices such as
glasses. The proximity sensor is an electronic sensor that
can detect the presence of objects in the vicinity without
any physical touch that is used to determine whether a
person's eyes are open or closed. The method used in this
study is the behavioral measure method, namely by
paying attention to the movement of the blinking of the
eye because if a person is sleeping, the distance between
the two eyelids narrows, and the frequency of blinking
decreases until he falls asleep. So if this happens the
glasses will give a warning as soon as possible. Based on
this background, the author's goal is to utilize or develop
glasses as a tool that can provide a warning as quickly as
possible to sleepy drivers to prevent traffic accidents. The
results of this experiment can be helpful for the
development of real-time sleep detection and help
manage sleepiness to avoid accidents.
Keywords :
Microsleep, Impulse, Proximity, Traffic Accidents, Sleepiness.
