Open AccessDevelopment of decision algorithms in the driver fatigue monitoring and prediction system based on a wireless multisensor device
Author(s) -
Alexey Vasiliev,
N Martiusheva,
Aleksey Boykov,
N Vyatkin,
К. И. Никитин
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/618/1/012029
Subject(s) - computer science , microcontroller , wearable computer , basis (linear algebra) , wireless , identification (biology) , real time computing , artificial neural network , state (computer science) , artificial intelligence , algorithm , embedded system , telecommunications , botany , geometry , mathematics , biology
This paper presents the system for the continuous monitoring of the physiological state of the vehicle driver. The developed system allows to make adequate decisions and forecast the situation on the basis of the driver fatigue monitoring data. Identification of drowsiness, state if carried out on the basis of blinking duration and frequency analysis. The neural network is used to detect blinking patterns. Signal acquisition and processing are performed on the wearable multisensor microcontroller-based device.