Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection

Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection

This paper presents a novel feature selection method to design a non-invasive driver drowsiness detection system based on steering wheel data. The proposed feature selector can select the most related features to the drowsiness level to improve the classification accuracy. This method is based on th...

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Bibliographic Details
Main Authors: Sadegh Arefnezhad, Sajjad Samiee, Arno Eichberger, Ali Nahvi
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
adaptive neuro-fuzzy inference system (ANFIS)
driver drowsiness detection
feature selection
particle swarm optimization (PSO)
Online Access:https://www.mdpi.com/1424-8220/19/4/943

Internet

https://www.mdpi.com/1424-8220/19/4/943

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