Driver Identification and Verification From Smartphone Accelerometers Using Deep Neural Networks

This paper addresses driver identification and verification using Deep Learning (DL) on tri-axial accelerometer signals from drivers' smartphones. The proposed driver identification architecture includes ResNet-50 followed by two Stacked Gated Recurrent Units (SGRUs). ResNet provides a deep lay...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on intelligent transportation systems 2022-01, Vol.23 (1), p.97-109
Hauptverfasser: Hernandez Sanchez, Sara, Pozo, Ruben Fernandez, Gomez, Luis Alfonso Hernandez
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!