Drowsy Driver Detection(G)

▶ Measures [normal driving patterns] by the accelerometer, orientation and GPS sensors.
● To detect [abnormal driving patterns] due to the concentrativeness decrease as a result of the fatigue.
● Abnormal pattern occurs at drowsy region, it is judged by sleepiness early symptoms.
● The pre-warning alarm, when sleepiness early symptoms is detected.
● Eye-blink, such as sleepiness symptoms, it would be considered accident already.

※ This app is considered as [the concentrativeness decrease → cause of the accident].
※ Without drowsiness symptoms, the alarm will sound if the concentrativeness deviate the standard.

▶ This app consists of [learning mode](virtual) and [driving mode](real).
● You can actually have experiences of [alarm situation] through learning mode and familiarize with the [Alarm adjustment] as well.
● When an alarm is set too high, there is a possibility that it does not sound.

※ Learning mode drives two hours early evening. After a break of about 30 minutes, it is recorded again for 2 hours traveling. The driver finishes a business, and the condition which is in the process of leaving office.

▶ The initial average value of normal driving pattern data is used as a benchmark to distinguish awake or drowsy state of driver.
● When twice(default) or more times than average value, a warning alarm.
● Fatigue is inversely proportional to the degree of concentration.
● Due to the increased fatigue, it looks well the phenomenon of falling suddenly concentrativeness.
● Learning mode produces pattern data every 1 second and driving modes does 5 seconds.

※ Notice
▶ Only when the application is running and enabled, drowsiness monitoring is possible.
● Please be fixed to mobile phone holder.
● This app is optimized for the highway-driver.