A Hybrid Approach Based on Behavioural and Physiological Data for Driver Monitoring Systems
Author:
Affiliation:
1. Università Roma Tre,Dipartimento di Ingegneria,Roma,Italy
2. Netcom Engineering S.p.A.,R&D Department,Napoli,Italy
3. Università della Campania Luigi Vanvitelli,Dipartimento di Ingegneria,Aversa,CE,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838443.pdf?arnumber=9838443
Reference39 articles.
1. Heart Rate Change While Drowsy Driving
2. Carla: An open urban driving simulator;dosovitskiy;Conference on Robot Learning,2017
3. Detecting Driver Drowsiness Based on Sensors: A Review
4. Impairment of Driving Performance Caused by Sleep Deprivation or Alcohol: A Comparative Study
5. Driver Head Posture Monitoring using MEMS Magnetometer and Neural Network for Long-distance Driving Fatigue Analysis
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