Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection

Thomas Kundinger; Nikoletta Sofra; Andreas Riener

doi:10.3390/s20041029

Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection

Thomas Kundinger, Nikoletta Sofra, Andreas Riener

Institute of Pervasive Computing

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	1029
Number of pages	21
Journal	Sensors
Volume	20
Issue number	4
DOIs	https://doi.org/10.3390/s20041029
Publication status	Published - 2020

Fields of science

202017 Embedded systems
102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102020 Medical informatics
102021 Pervasive computing
102022 Software development
102025 Distributed systems
211902 Assistive technologies
211912 Product design

JKU Focus areas

Digital Transformation

UN SDGs

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

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10.3390/s20041029

Cite this

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title = "Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection",

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

year = "2020",

doi = "10.3390/s20041029",

language = "English",

volume = "20",

journal = "Sensors",

issn = "1424-8220",

publisher = "MDPI",

number = "4",

}

TY - JOUR

T1 - Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection

AU - Kundinger, Thomas

AU - Sofra, Nikoletta

AU - Riener, Andreas

PY - 2020

Y1 - 2020

UR - https://www.scopus.com/pages/publications/85079572365

U2 - 10.3390/s20041029

DO - 10.3390/s20041029

M3 - Article

SN - 1424-8220

VL - 20

JO - Sensors

JF - Sensors

IS - 4

M1 - 1029

ER -

Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection

Fields of science

JKU Focus areas

UN SDGs

Access to Document

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Cite this