Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

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Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals

Electromyography (EMG) signals are one of the most studied inputs for driver drowsiness detection systems. As the number of EMG features available can be daunting, finding the most significant and minimal subset features is desirable. Hence, a simplified feature selection method is necessary. This w...

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Bibliographic Details
Main Authors:	Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari
Format:	Article
Language:	English
Published:	International Information and Engineering Technology Association 2022
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/42665/

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