A fatigue driving detection method based on Frequency Modulated Continuous Wave radar

Zhening Dong; Meiyan Zhang; Jinwei Sun; Tianao Cao; Runqiao Liu; Qisong Wang; Danliu

doi:10.1109/ICCECE51280.2021.9342080

A fatigue driving detection method based on Frequency Modulated Continuous Wave radar

Zhening Dong
, Meiyan Zhang
, Jinwei Sun^*
, Tianao Cao
, Runqiao Liu
, Qisong Wang
, Danliu

^*Corresponding author for this work

Harbin Institute of Technology

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

16 Scopus citations

Abstract

Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver's physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is always low and some fatigue recognition indicators are missing. Therefore, this paper proposes a method of fatigue driving detection based on Frequency Modulated Continuous Wave (FMCW) radar. An millimeter wave(mmWave) AWR1642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed. In addition, logistics regression was utilized in the fatigue driving judgment algorithm. Multiple indicators of heart rate frequency, respiration frequency, heart rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to S5%. Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, which is suitable to most driving environments.

Original language	English
Title of host publication	2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	670-675
Number of pages	6
ISBN (Electronic)	9781728183190
DOIs	https://doi.org/10.1109/ICCECE51280.2021.9342080
State	Published - 15 Jan 2021
Externally published	Yes
Event	2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021 - Virtual, Guangzhou, China Duration: 15 Jan 2021 → 17 Jan 2021

Publication series

Name	2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021

Conference

Conference	2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021
Country/Territory	China
City	Virtual, Guangzhou
Period	15/01/21 → 17/01/21

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

fatigue driving
heartbeat
logistics regression
millimeter wave radar
respiration

Access to Document

10.1109/ICCECE51280.2021.9342080

Cite this

Dong, Z., Zhang, M., Sun, J., Cao, T., Liu, R., Wang, Q., & Danliu (2021). A fatigue driving detection method based on Frequency Modulated Continuous Wave radar. In 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021 (pp. 670-675). Article 9342080 (2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCECE51280.2021.9342080

Dong, Zhening ; Zhang, Meiyan ; Sun, Jinwei et al. / A fatigue driving detection method based on Frequency Modulated Continuous Wave radar. 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 670-675 (2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021).

@inproceedings{fc4ec3459956402e8ceae48554f070c9,

title = "A fatigue driving detection method based on Frequency Modulated Continuous Wave radar",

abstract = "Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver's physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is always low and some fatigue recognition indicators are missing. Therefore, this paper proposes a method of fatigue driving detection based on Frequency Modulated Continuous Wave (FMCW) radar. An millimeter wave(mmWave) AWR1642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed. In addition, logistics regression was utilized in the fatigue driving judgment algorithm. Multiple indicators of heart rate frequency, respiration frequency, heart rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to S5\%. Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, which is suitable to most driving environments.",

keywords = "fatigue driving, heartbeat, logistics regression, millimeter wave radar, respiration",

author = "Zhening Dong and Meiyan Zhang and Jinwei Sun and Tianao Cao and Runqiao Liu and Qisong Wang and Danliu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021 ; Conference date: 15-01-2021 Through 17-01-2021",

year = "2021",

month = jan,

day = "15",

doi = "10.1109/ICCECE51280.2021.9342080",

language = "英语",

series = "2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021",

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}

Dong, Z, Zhang, M , Sun, J, Cao, T, Liu, R, Wang, Q & Danliu 2021, A fatigue driving detection method based on Frequency Modulated Continuous Wave radar. in 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021., 9342080, 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021, Institute of Electrical and Electronics Engineers Inc., pp. 670-675, 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021, Virtual, Guangzhou, China, 15/01/21. https://doi.org/10.1109/ICCECE51280.2021.9342080

A fatigue driving detection method based on Frequency Modulated Continuous Wave radar. / Dong, Zhening; Zhang, Meiyan ; Sun, Jinwei et al.
2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 670-675 9342080 (2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021).

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

TY - GEN

T1 - A fatigue driving detection method based on Frequency Modulated Continuous Wave radar

AU - Dong, Zhening

AU - Zhang, Meiyan

AU - Sun, Jinwei

AU - Cao, Tianao

AU - Liu, Runqiao

AU - Wang, Qisong

AU - Danliu,

PY - 2021/1/15

Y1 - 2021/1/15

N2 - Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver's physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is always low and some fatigue recognition indicators are missing. Therefore, this paper proposes a method of fatigue driving detection based on Frequency Modulated Continuous Wave (FMCW) radar. An millimeter wave(mmWave) AWR1642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed. In addition, logistics regression was utilized in the fatigue driving judgment algorithm. Multiple indicators of heart rate frequency, respiration frequency, heart rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to S5%. Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, which is suitable to most driving environments.

AB - Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver's physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is always low and some fatigue recognition indicators are missing. Therefore, this paper proposes a method of fatigue driving detection based on Frequency Modulated Continuous Wave (FMCW) radar. An millimeter wave(mmWave) AWR1642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed. In addition, logistics regression was utilized in the fatigue driving judgment algorithm. Multiple indicators of heart rate frequency, respiration frequency, heart rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to S5%. Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, which is suitable to most driving environments.

KW - fatigue driving

KW - heartbeat

KW - logistics regression

KW - millimeter wave radar

KW - respiration

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DO - 10.1109/ICCECE51280.2021.9342080

M3 - 会议稿件

AN - SCOPUS:85101232304

T3 - 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021

SP - 670

EP - 675

BT - 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021

Y2 - 15 January 2021 through 17 January 2021

ER -

Dong Z, Zhang M , Sun J, Cao T, Liu R, Wang Q et al. A fatigue driving detection method based on Frequency Modulated Continuous Wave radar. In 2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 670-675. 9342080. (2021 IEEE International Conference on Consumer Electronics and Computer Engineering, ICCECE 2021). doi: 10.1109/ICCECE51280.2021.9342080

A fatigue driving detection method based on Frequency Modulated Continuous Wave radar

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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