Development of algorithms for the driver fatigue monitoring system based on a wireless multisensor device.
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.
Continuous monitoring, decision algorithms, driver fatigue monitoring, frequency analysis, microcontroller-based, physiological state, prediction systems, signal acquisitions