3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar

Yao Ge; Zikang Chen; Jonathan Cooper; Muhammad Ali Imran; Qammer H. Abbasi

doi:10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar

Yao Ge
, Zikang Chen
, Jonathan Cooper
, Muhammad Ali Imran
, Qammer H. Abbasi

University of Glasgow

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

5 Scopus citations

Abstract

Driver fatigue refers to the state of reduced mental and physical alertness, impairing a driver's ability to safely operate a vehicle, often caused by inadequate sleep or prolonged periods of driving. Radar is utilized for fatigue detection due to its non-intrusive nature and ability to continuously monitor physiological signals like respiration and movement, which are key indicators of a driver's alertness level. Traditional radars can only focus on 2D information. Using the novel 20∗20 Multiple-Input Multiple-Output (MIMO) radar, the spatial information can be explored which is relavant to multiple human activities including the actions that represents fatigue. In the paper, we proposed a 3D based driver fatigue detection scheme (3D-DFD) with MIMO radar and achieved 81.54% of accuracy on pilot dataset.

Original language	English
Title of host publication	2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	93-94
Number of pages	2
ISBN (Electronic)	9798350369908
DOIs	https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686347
State	Published - 2024
Externally published	Yes
Event	2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, Italy Duration: 14 Jul 2024 → 19 Jul 2024

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)	1522-3965

Conference

Conference	2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024
Country/Territory	Italy
City	Florence
Period	14/07/24 → 19/07/24

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Fatigue detection
Radar sensing

Access to Document

10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

Cite this

Ge, Y., Chen, Z., Cooper, J., Imran, M. A., & Abbasi, Q. H. (2024). 3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar. In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings (pp. 93-94). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

Ge, Yao ; Chen, Zikang ; Cooper, Jonathan et al. / 3D-DFD : A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. pp. 93-94 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

@inproceedings{b6ace027ac1445c38c8596947c2b5c16,

title = "3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar",

abstract = "Driver fatigue refers to the state of reduced mental and physical alertness, impairing a driver's ability to safely operate a vehicle, often caused by inadequate sleep or prolonged periods of driving. Radar is utilized for fatigue detection due to its non-intrusive nature and ability to continuously monitor physiological signals like respiration and movement, which are key indicators of a driver's alertness level. Traditional radars can only focus on 2D information. Using the novel 20∗20 Multiple-Input Multiple-Output (MIMO) radar, the spatial information can be explored which is relavant to multiple human activities including the actions that represents fatigue. In the paper, we proposed a 3D based driver fatigue detection scheme (3D-DFD) with MIMO radar and achieved 81.54\% of accuracy on pilot dataset.",

keywords = "Fatigue detection, Radar sensing",

author = "Yao Ge and Zikang Chen and Jonathan Cooper and Imran, \{Muhammad Ali\} and Abbasi, \{Qammer H.\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 ; Conference date: 14-07-2024 Through 19-07-2024",

year = "2024",

doi = "10.1109/AP-S/INC-USNC-URSI52054.2024.10686347",

language = "English",

series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "93--94",

booktitle = "2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings",

address = "United States",

}

Ge, Y, Chen, Z, Cooper, J, Imran, MA & Abbasi, QH 2024, 3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar. in 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings. IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), Institute of Electrical and Electronics Engineers Inc., pp. 93-94, 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024, Florence, Italy, 14/07/24. https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar. / Ge, Yao; Chen, Zikang; Cooper, Jonathan et al.
2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. p. 93-94 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

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

TY - GEN

T1 - 3D-DFD

T2 - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024

AU - Ge, Yao

AU - Chen, Zikang

AU - Cooper, Jonathan

AU - Imran, Muhammad Ali

AU - Abbasi, Qammer H.

PY - 2024

Y1 - 2024

N2 - Driver fatigue refers to the state of reduced mental and physical alertness, impairing a driver's ability to safely operate a vehicle, often caused by inadequate sleep or prolonged periods of driving. Radar is utilized for fatigue detection due to its non-intrusive nature and ability to continuously monitor physiological signals like respiration and movement, which are key indicators of a driver's alertness level. Traditional radars can only focus on 2D information. Using the novel 20∗20 Multiple-Input Multiple-Output (MIMO) radar, the spatial information can be explored which is relavant to multiple human activities including the actions that represents fatigue. In the paper, we proposed a 3D based driver fatigue detection scheme (3D-DFD) with MIMO radar and achieved 81.54% of accuracy on pilot dataset.

AB - Driver fatigue refers to the state of reduced mental and physical alertness, impairing a driver's ability to safely operate a vehicle, often caused by inadequate sleep or prolonged periods of driving. Radar is utilized for fatigue detection due to its non-intrusive nature and ability to continuously monitor physiological signals like respiration and movement, which are key indicators of a driver's alertness level. Traditional radars can only focus on 2D information. Using the novel 20∗20 Multiple-Input Multiple-Output (MIMO) radar, the spatial information can be explored which is relavant to multiple human activities including the actions that represents fatigue. In the paper, we proposed a 3D based driver fatigue detection scheme (3D-DFD) with MIMO radar and achieved 81.54% of accuracy on pilot dataset.

KW - Fatigue detection

KW - Radar sensing

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U2 - 10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

DO - 10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

M3 - Conference contribution

AN - SCOPUS:85207088336

T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

SP - 93

EP - 94

BT - 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 14 July 2024 through 19 July 2024

ER -

Ge Y, Chen Z, Cooper J, Imran MA, Abbasi QH. 3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar. In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. p. 93-94. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). doi: 10.1109/AP-S/INC-USNC-URSI52054.2024.10686347

3D-DFD: A Driver Fatigue Detection Scheme Using 3D mmWave Imaging Radar

Abstract

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Conference

UN SDGs

Keywords

Access to Document

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