Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study
This study aims to build a system for detecting a driver’s internal state using body-worn sensors. Our system is intended to detect inattentive driving that occurs during long-term driving on a monotonous road, such as a high-way road. The inattentive state of a driver in this study is an absent-min...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/1/352 |
| _version_ | 1797497520992026624 |
|---|---|
| author | Takuma Akiduki Jun Nagasawa Zhong Zhang Yuto Omae Toshiya Arakawa Hirotaka Takahashi |
| author_facet | Takuma Akiduki Jun Nagasawa Zhong Zhang Yuto Omae Toshiya Arakawa Hirotaka Takahashi |
| author_sort | Takuma Akiduki |
| collection | DOAJ |
| description | This study aims to build a system for detecting a driver’s internal state using body-worn sensors. Our system is intended to detect inattentive driving that occurs during long-term driving on a monotonous road, such as a high-way road. The inattentive state of a driver in this study is an absent-minded state caused by a decrease in driver vigilance levels due to fatigue or drowsiness. However, it is difficult to clearly define these inattentive states because it is difficult for the driver to recognize when they fall into an absent-minded state. To address this problem and achieve our goal, we have proposed a detection algorithm for inattentive driving that not only uses a heart rate sensor, but also uses body-worn inertial sensors, which have the potential to detect driver behavior more accurately and at a much lower cost. The proposed method combines three detection models: body movement, drowsiness, and inattention detection, based on an anomaly detection algorithm. Furthermore, we have verified the accuracy of the algorithm with the experimental data for five participants that were measured in long-term and monotonous driving scenarios by using a driving simulator. The results indicate that our approach can detect both the inattentive and drowsiness states of drivers using signals from both the heart rate sensor and accelerometers placed on wrists. |
| first_indexed | 2024-03-10T03:20:24Z |
| format | Article |
| id | doaj.art-aa645b74d1344a1d9af2917437eba811 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:20:24Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-aa645b74d1344a1d9af2917437eba8112023-11-23T12:21:01ZengMDPI AGSensors1424-82202022-01-0122135210.3390/s22010352Inattentive Driving Detection Using Body-Worn Sensors: Feasibility StudyTakuma Akiduki0Jun Nagasawa1Zhong Zhang2Yuto Omae3Toshiya Arakawa4Hirotaka Takahashi5Graduate School of Engineering, Toyohashi University of Technology, Toyohashi 441-8580, JapanGraduate School of Engineering, Toyohashi University of Technology, Toyohashi 441-8580, JapanDepartment of Intelligent Mechanical Engineering, Hiroshima Institute of Technology, Saeki-ku, Hiroshima 731-5193, JapanDepartment of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Narashino 275-8575, JapanDepartment of Information Technology and Media Design, Nippon Institute of Technology, Miyashiro-machi, Saitama 345-8501, JapanResearch Center for Space Science, Advanced Research Laboratories, Tokyo City University, Setagaya-ku, Tokyo 158-0082, JapanThis study aims to build a system for detecting a driver’s internal state using body-worn sensors. Our system is intended to detect inattentive driving that occurs during long-term driving on a monotonous road, such as a high-way road. The inattentive state of a driver in this study is an absent-minded state caused by a decrease in driver vigilance levels due to fatigue or drowsiness. However, it is difficult to clearly define these inattentive states because it is difficult for the driver to recognize when they fall into an absent-minded state. To address this problem and achieve our goal, we have proposed a detection algorithm for inattentive driving that not only uses a heart rate sensor, but also uses body-worn inertial sensors, which have the potential to detect driver behavior more accurately and at a much lower cost. The proposed method combines three detection models: body movement, drowsiness, and inattention detection, based on an anomaly detection algorithm. Furthermore, we have verified the accuracy of the algorithm with the experimental data for five participants that were measured in long-term and monotonous driving scenarios by using a driving simulator. The results indicate that our approach can detect both the inattentive and drowsiness states of drivers using signals from both the heart rate sensor and accelerometers placed on wrists.https://www.mdpi.com/1424-8220/22/1/352accelerometermotion featurebody-worn sensordrowsiness drivinginattentive driving |
| spellingShingle | Takuma Akiduki Jun Nagasawa Zhong Zhang Yuto Omae Toshiya Arakawa Hirotaka Takahashi Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study Sensors accelerometer motion feature body-worn sensor drowsiness driving inattentive driving |
| title | Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study |
| title_full | Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study |
| title_fullStr | Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study |
| title_full_unstemmed | Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study |
| title_short | Inattentive Driving Detection Using Body-Worn Sensors: Feasibility Study |
| title_sort | inattentive driving detection using body worn sensors feasibility study |
| topic | accelerometer motion feature body-worn sensor drowsiness driving inattentive driving |
| url | https://www.mdpi.com/1424-8220/22/1/352 |
| work_keys_str_mv | AT takumaakiduki inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy AT junnagasawa inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy AT zhongzhang inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy AT yutoomae inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy AT toshiyaarakawa inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy AT hirotakatakahashi inattentivedrivingdetectionusingbodywornsensorsfeasibilitystudy |