Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals-Reference-Cited by-同舟云学术

Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals

Published:2020 Issue: Volume:8 Page:70590-70603
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gjoreski Martin¹^ORCID,Gams Matja Z¹^ORCID,Lustrek Mitja¹,Genc Pelin²,Garbas Jens-U.²,Hassan Teena²

Affiliation:

1. Jožef Stefan Institute, Ljubljana, Slovenia

2. Intelligent Systems Group, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany

Funder

Slovenian Research Agency

Fraunhofer Society via the Young Research Class 2016 program on ‘Cognitive Machines’ and by Fraunhofer IIS under the Affective Sensing project

The research collaboration between Jozef Stefan Institute and Fraunhofer IIS is funded by a grant received from the German Academic Exchange Service and ARRS in 2019

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09062481.pdf?arnumber=9062481

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