Enhancing driver fatigue detection accuracy in on-road driving systems using an LSTM-DNN hybrid model with modified Z-Score and morlet wavelet

Enhancing driver fatigue detection accuracy in on-road driving systems using an LSTM-DNN hybrid model with modified Z-Score and morlet wavelet

Driver fatigue is a significant safety concern in transportation systems, with the potential to cause accidents. Detecting and addressing driver fatigue in real time is crucial for improving road safety. This research paper introduces an innovative method for detecting driver fatigue using electroen...

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Bibliographic Details
Main Authors: Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari
Format: Conference or Workshop Item
Language:English
Published: Springer Nature 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/43651/1/Enhancing%20driver%20fatigue%20detection%20accuracy%20in%20on-road%20driving%20systems%20using%20an%20LSTM-DNN%20hybrid%20model%20with%20modified%20Z-Score%20and%20morlet%20wavelet.PDF

Internet

http://umpir.ump.edu.my/id/eprint/43651/1/Enhancing%20driver%20fatigue%20detection%20accuracy%20in%20on-road%20driving%20systems%20using%20an%20LSTM-DNN%20hybrid%20model%20with%20modified%20Z-Score%20and%20morlet%20wavelet.PDF

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