Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste
Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/17/2/333 |
| _version_ | 1818038029120438272 |
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| author | DaeHan Ahn Homin Park Seokhyun Hwang Taejoon Park |
| author_facet | DaeHan Ahn Homin Park Seokhyun Hwang Taejoon Park |
| author_sort | DaeHan Ahn |
| collection | DOAJ |
| description | Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrancebyleveragingbuilt-insmartphonesensorsonly. Theresultsofourcomprehensiveevaluation on three vehicle types with four participants demonstrate that the proposed system achieves 91.1%∼94.0% accuracy, outperforming other methods by 26.9%∼38.4% and maintains at least 87.8 %accuracy regardless of smartphone positions and vehicle types. |
| first_indexed | 2024-12-10T07:36:14Z |
| format | Article |
| id | doaj.art-5121b44d9405482da9d69101e020e6ea |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:36:14Z |
| publishDate | 2017-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5121b44d9405482da9d69101e020e6ea2022-12-22T01:57:25ZengMDPI AGSensors1424-82202017-02-0117233310.3390/s17020333s17020333Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference SysteDaeHan Ahn0Homin Park1Seokhyun Hwang2Taejoon Park3Department of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333 Techno jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, KoreaResearch Institute of Engineering & Technology, Hanyang University, 55 Hanyangdaehak-ro, Ansan, Gyeonggi-do 15588, KoreaDepartment of Interdisciplinary Engineering System, Hanyang University, 55 Hanyangdaehak-ro, Ansan, Gyeonggi-do 15588, KoreaDepartment of Robotics Engineering, Hanyang University, 55 Hanyangdaehak-ro, Ansan, Gyeonggi-do 15588, KoreaExisting smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrancebyleveragingbuilt-insmartphonesensorsonly. Theresultsofourcomprehensiveevaluation on three vehicle types with four participants demonstrate that the proposed system achieves 91.1%∼94.0% accuracy, outperforming other methods by 26.9%∼38.4% and maintains at least 87.8 %accuracy regardless of smartphone positions and vehicle types.http://www.mdpi.com/1424-8220/17/2/333driver identificationfuzzy inference systemvehicle-boarding actionsinertial sensorsdriving while distracted |
| spellingShingle | DaeHan Ahn Homin Park Seokhyun Hwang Taejoon Park Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste Sensors driver identification fuzzy inference system vehicle-boarding actions inertial sensors driving while distracted |
| title | Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste |
| title_full | Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste |
| title_fullStr | Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste |
| title_full_unstemmed | Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste |
| title_short | Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste |
| title_sort | reliable identification of vehicle boarding actions based on fuzzy inference syste |
| topic | driver identification fuzzy inference system vehicle-boarding actions inertial sensors driving while distracted |
| url | http://www.mdpi.com/1424-8220/17/2/333 |
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