Feature selection for driving fatigue characterization and detection using visual- and signal-based sensors

Driving fatigue detection has been the subject of several studies which relied on a set of features describing driver’s facial expressions, driving behaviors, and bio-signals. The purpose of this study is to improve driving fatigue detection by identifying the adequate set of features which accurate...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied Informatics 2018-11, Vol.5 (1), p.1-15, Article 7
Hauptverfasser:	Henni, Khadidja, Mezghani, Neila, Gouin-Vallerand, Charles, Ruer, Perrine, Ouakrim, Youssef, Vallières, Évelyne
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial Intelligence Bioinformatics Computer Applications Computer Imaging Computer Science Computer vision Driver fatigue Drivers Driving Fatigue Feature recognition Health Informatics Health Sciences Medicine Methods Motor vehicle driving Pattern Recognition and Graphics Safety and security measures Sensors Statistics for Life Sciences Support vector machines Traffic safety Vision Vision systems Visual signals
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!