Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 4, March 2019

The System Design for Fatigue Driving Detection by Brainwaves Analysis in Smartphone

  Authors

Yung Gi Wu1, Jwu Jenq Chen2 and Rui Hsin Wang3, 1,2,3Chang Jung Christian University, Taiwan

  Abstract

The car accidents caused by fatigue driving have been reporting from the news. In order to avoid the accidents mentioned above, we survey some published methods that used to detect fatigue and find that every method has its own specified purposes. Therefore, this research design the system to detect fatigue and alert driver with light weight brainwave detector and smartphone that everyone has for most car drivers.
In this system, the driver wear a light weight head mounted brainwave device and the signal is transmitted to the smartphone.Our algorithm calculates the driver’s fatigue index by focus, eyes blink frequency, α-wave, β-wave, δ-wave and θ-wave to judge the driver’s condition. The experimental results show that the system can not only remind driverwhen they are actually fatigued but also find the fatigue period by examine historical records. This research can reduce the occurrence of car accident caused by driver’s fatigue.

  Keywords

Brainwave Detecting,Fatigue Detecting, APP