Driver’s fatigue classification based on physiological signals using RNN-LSTM technique

• Main Authors: Rabea, Ahmed Faozi Ahmed, Ahmad, Siti Anom, Jantan, Sa'diah, Che Soh, Azura, Ishak, Asnor Juraiza, Raja Adnan, Raja Nurzatul Efah, Al-Qazzaz, Noor Kamal
• Format: Conference or Workshop Item
• Published: IEEE 2022
• Online Access: http://psasir.upm.edu.my/id/eprint/37788/; https://ieeexplore.ieee.org/document/10079443
• Institution: Universiti Putra Malaysia

One of the major reasons for road accidents is driver’s fatigue which causes several fatalities every year. Various studies on road accidents have proved that 20% of the accidents are caused mainly due to fatigue among drivers while driving. This paper presents the use of deep learning technique in...