A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges

Thomas Kundinger; Andreas Riener; Nikoletta Sofra

doi:10.18420/muc2017-ws09-0307

A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges

Thomas Kundinger
, Andreas Riener
, Nikoletta Sofra

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Mensch und Computer 2017 – Workshopband,
Editors	Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C.
Place of Publication	Regensburg
Publisher	Gesellschaft für Informatik e. V.
Pages	433-440
Number of pages	8
DOIs	https://doi.org/10.18420/muc2017-ws09-0307
Publication status	Published - 2017

Publication series

Name	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
ISSN (Print)	1617-5468

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102021 Pervasive computing
102022 Software development
102025 Distributed systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.18420/muc2017-ws09-0307

Cite this

Kundinger, T., Riener, A., & Sofra, N. (2017). A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges. In Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C. (Ed.), Mensch und Computer 2017 – Workshopband, (pp. 433-440). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)). Gesellschaft für Informatik e. V.. https://doi.org/10.18420/muc2017-ws09-0307

Kundinger, Thomas ; Riener, Andreas ; Sofra, Nikoletta. / A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges. Mensch und Computer 2017 – Workshopband,. editor / Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C. Regensburg : Gesellschaft für Informatik e. V., 2017. pp. 433-440 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

@inproceedings{3fd5894af0aa4b1eb2487911c58cdd69,

title = "A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges",

author = "Thomas Kundinger and Andreas Riener and Nikoletta Sofra",

year = "2017",

doi = "10.18420/muc2017-ws09-0307",

language = "English",

series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

publisher = "Gesellschaft f{\"u}r Informatik e. V.",

pages = "433--440",

editor = "\{Burghardt, M., Wimmer, R., Wolff, C. \& Womser-Hacker, C.\}",

booktitle = "Mensch und Computer 2017 – Workshopband,",

}

Kundinger, T, Riener, A & Sofra, N 2017, A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges. in Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C. (ed.), Mensch und Computer 2017 – Workshopband,. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), Gesellschaft für Informatik e. V., Regensburg, pp. 433-440. https://doi.org/10.18420/muc2017-ws09-0307

A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges. / Kundinger, Thomas; Riener, Andreas; Sofra, Nikoletta.
Mensch und Computer 2017 – Workshopband,. ed. / Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C. Regensburg: Gesellschaft für Informatik e. V., 2017. p. 433-440 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges

AU - Kundinger, Thomas

AU - Riener, Andreas

AU - Sofra, Nikoletta

PY - 2017

Y1 - 2017

UR - https://www.scopus.com/pages/publications/85138783212

U2 - 10.18420/muc2017-ws09-0307

DO - 10.18420/muc2017-ws09-0307

M3 - Conference proceedings

T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

SP - 433

EP - 440

BT - Mensch und Computer 2017 – Workshopband,

A2 - Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C., null

PB - Gesellschaft für Informatik e. V.

CY - Regensburg

ER -

Kundinger T, Riener A, Sofra N. A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges. In Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C., editor, Mensch und Computer 2017 – Workshopband,. Regensburg: Gesellschaft für Informatik e. V. 2017. p. 433-440. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)). doi: 10.18420/muc2017-ws09-0307

A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data Sate of the Art and Research Challenges

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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Cite this