Driver Drowsiness Classification Using Data Fusion of Vehicle-based Measures and ECG Signals

Sadegh Arefnezhad (Speaker)
Eichberger, A. (Contributor)
Matthias Frühwirth (Contributor)
Clemens Kaufmann (Contributor)
Maximilian Moser (Contributor)

Institute of Automotive Engineering (3310)

Activity: Talk or presentation › Talk at conference or symposium › Science to public

Period	12 Oct 2020
Event title	2020 IEEE International Conference on Systems, Man, and Cybernetics
Event type	Conference
Location	Virtuell, CanadaShow on map
Degree of Recognition	International

Keywords

Drowsy driving
ECG signals
vehicle-based measures
drowsiness classification
Human Factors

ASJC Scopus subject areas

Automotive Engineering

Fields of Expertise

Mobility & Production

Documents & Links

MoAT163-200-Arefnezhad
File: video/mp4, 87.7 MB
Type: Audiovisual
MoAT163-200-Arefnezhad_Presentation
File: application/pdf, 1.53 MB
Type: Text

Related content

Publications
Driver Drowsiness Classification Using Data Fusion of Vehicle-based Measures and ECG Signals
Research output: Contribution to conference › Paper › peer-review

Projects
WACHsens - Evaluation of driver performance in semi-automated driving by physiologic, driver behavior and video based sensors
Project: Research project