Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light
Due to the population aging in Japan, more elderly people are retaining their driver’s licenses and the increase in the number of car accidents by elderly drivers is a social problem. To address this problem, an objective data-based method to evaluate whether elderly drivers can continue driving is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/9/1408 |
| _version_ | 1797555006342168576 |
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| author | Takumi Shimauchi Keiko Sakurai Lindsey Tate Hiroki Tamura |
| author_facet | Takumi Shimauchi Keiko Sakurai Lindsey Tate Hiroki Tamura |
| author_sort | Takumi Shimauchi |
| collection | DOAJ |
| description | Due to the population aging in Japan, more elderly people are retaining their driver’s licenses and the increase in the number of car accidents by elderly drivers is a social problem. To address this problem, an objective data-based method to evaluate whether elderly drivers can continue driving is needed. In this paper, we propose a car driving evaluation system based on gaze as calculated by eye and head angles. We used an eye tracking device (TalkEye Lite) made by the Takei Scientific Instruments Cooperation. For our image processing technique, we propose a gaze fixation condition using deep learning (YOLOv2-tiny). By using an eye tracking device and the proposed gaze fixation condition, we built a system where drivers could be evaluated during actual car operation. We describe our system in this paper. In order to evaluate our proposed method, we conducted experiments from November 2017 to November 2018 where elderly people were evaluated by our system while driving an actual car. The subjects were 22 general drivers (two were 80–89 years old, four were 70–79 years old, six were 60–69 years old, three were 50–59 years old, five were 40–49 years old and two were 30–39 years old). We compared the subjects’ gaze information with the subjective evaluation by a professional driving instructor. As a result, we confirm that the subjects’ gaze information is related to the subjective evaluation by the instructor. |
| first_indexed | 2024-03-10T16:40:07Z |
| format | Article |
| id | doaj.art-c9f901d1a47a4be998f539b5385da0dc |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T16:40:07Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-c9f901d1a47a4be998f539b5385da0dc2023-11-20T12:06:15ZengMDPI AGElectronics2079-92922020-09-0199140810.3390/electronics9091408Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic LightTakumi Shimauchi0Keiko Sakurai1Lindsey Tate2Hiroki Tamura3Faculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi 889-2192, JapanFaculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi 889-2192, JapanFaculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi 889-2192, JapanFaculty of Engineering, University of Miyazaki, 1-1, Gakuen Kibanadai-nishi, Miyazaki-shi 889-2192, JapanDue to the population aging in Japan, more elderly people are retaining their driver’s licenses and the increase in the number of car accidents by elderly drivers is a social problem. To address this problem, an objective data-based method to evaluate whether elderly drivers can continue driving is needed. In this paper, we propose a car driving evaluation system based on gaze as calculated by eye and head angles. We used an eye tracking device (TalkEye Lite) made by the Takei Scientific Instruments Cooperation. For our image processing technique, we propose a gaze fixation condition using deep learning (YOLOv2-tiny). By using an eye tracking device and the proposed gaze fixation condition, we built a system where drivers could be evaluated during actual car operation. We describe our system in this paper. In order to evaluate our proposed method, we conducted experiments from November 2017 to November 2018 where elderly people were evaluated by our system while driving an actual car. The subjects were 22 general drivers (two were 80–89 years old, four were 70–79 years old, six were 60–69 years old, three were 50–59 years old, five were 40–49 years old and two were 30–39 years old). We compared the subjects’ gaze information with the subjective evaluation by a professional driving instructor. As a result, we confirm that the subjects’ gaze information is related to the subjective evaluation by the instructor.https://www.mdpi.com/2079-9292/9/9/1408car driving evaluation systemeye tracking deviceYOLOv2-tinygaze fixationsubjective evaluation |
| spellingShingle | Takumi Shimauchi Keiko Sakurai Lindsey Tate Hiroki Tamura Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light Electronics car driving evaluation system eye tracking device YOLOv2-tiny gaze fixation subjective evaluation |
| title | Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light |
| title_full | Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light |
| title_fullStr | Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light |
| title_full_unstemmed | Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light |
| title_short | Gaze-Based Vehicle Driving Evaluation of System with an Actual Vehicle at an Intersection with a Traffic Light |
| title_sort | gaze based vehicle driving evaluation of system with an actual vehicle at an intersection with a traffic light |
| topic | car driving evaluation system eye tracking device YOLOv2-tiny gaze fixation subjective evaluation |
| url | https://www.mdpi.com/2079-9292/9/9/1408 |
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