Computer ScienceEngineering

Real-Time Driver Fatigue Monitoring with a Dynamic Bayesian Network Model

Issam Bani, Belhassan Akrout, Walid Mahdi

2019Advances in Predictive, Preventive and Personalised Medicine

DOI: 10.1007/978-3-030-11800-6_8

tlooto Summary

This chapter has integrated the most relevant causes and effects of fatigue in a dynamic Bayesian network and added as consequences real-time facial expressions, such as blinking, yawning, gaze, and head position to detect driver fatigue.

Abstract

Abstract is not available.

Citation format

BANI, Issam; AKROUT, Belhassan; MAHDI, Walid. Real-time driver fatigue monitoring with a dynamic bayesian network model. Advances in Predictive, Preventive and Personalised Medicine, 2019.