Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface
Millions of drivers could experience shoulder muscle overload when rapidly rotating steering wheels and reduced steering ability at increased steering wheel angles. In order to address these issues for drivers with disability, surface electromyography (sEMG) sensors measuring biceps brachii muscle a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/19/6/1308 |
| _version_ | 1811305937244258304 |
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| author | Edric John Cruz Nacpil Zheng Wang Rencheng Zheng Tsutomu Kaizuka Kimihiko Nakano |
| author_facet | Edric John Cruz Nacpil Zheng Wang Rencheng Zheng Tsutomu Kaizuka Kimihiko Nakano |
| author_sort | Edric John Cruz Nacpil |
| collection | DOAJ |
| description | Millions of drivers could experience shoulder muscle overload when rapidly rotating steering wheels and reduced steering ability at increased steering wheel angles. In order to address these issues for drivers with disability, surface electromyography (sEMG) sensors measuring biceps brachii muscle activity were incorporated into a steering assistance system for remote steering wheel rotation. The path-following accuracy of the sEMG interface with respect to a game steering wheel was evaluated through driving simulator trials. Human participants executed U-turns with differing radii of curvature. For a radius of curvature equal to the minimum vehicle turning radius of 3.6 m, the sEMG interface had significantly greater accuracy than the game steering wheel, with intertrial median lateral errors of 0.5 m and 1.2 m, respectively. For a U-turn with a radius of 7.2 m, the sEMG interface and game steering wheel were comparable in accuracy, with respective intertrial median lateral errors of 1.6 m and 1.4 m. The findings of this study could be utilized to realize accurate sEMG-controlled automobile steering for persons with disability. |
| first_indexed | 2024-04-13T08:35:19Z |
| format | Article |
| id | doaj.art-3fada81f46c24a379035fd3a235c9a9f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:35:19Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3fada81f46c24a379035fd3a235c9a9f2022-12-22T02:54:07ZengMDPI AGSensors1424-82202019-03-01196130810.3390/s19061308s19061308Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance InterfaceEdric John Cruz Nacpil0Zheng Wang1Rencheng Zheng2Tsutomu Kaizuka3Kimihiko Nakano4Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JapanInstitute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JapanSchool of Automotive Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian 116024, ChinaInstitute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JapanInstitute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JapanMillions of drivers could experience shoulder muscle overload when rapidly rotating steering wheels and reduced steering ability at increased steering wheel angles. In order to address these issues for drivers with disability, surface electromyography (sEMG) sensors measuring biceps brachii muscle activity were incorporated into a steering assistance system for remote steering wheel rotation. The path-following accuracy of the sEMG interface with respect to a game steering wheel was evaluated through driving simulator trials. Human participants executed U-turns with differing radii of curvature. For a radius of curvature equal to the minimum vehicle turning radius of 3.6 m, the sEMG interface had significantly greater accuracy than the game steering wheel, with intertrial median lateral errors of 0.5 m and 1.2 m, respectively. For a U-turn with a radius of 7.2 m, the sEMG interface and game steering wheel were comparable in accuracy, with respective intertrial median lateral errors of 1.6 m and 1.4 m. The findings of this study could be utilized to realize accurate sEMG-controlled automobile steering for persons with disability.http://www.mdpi.com/1424-8220/19/6/1308human-machine interface (HMI)surface electromyography (sEMG)advanced driver assistance system (ADAS)automated driving |
| spellingShingle | Edric John Cruz Nacpil Zheng Wang Rencheng Zheng Tsutomu Kaizuka Kimihiko Nakano Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface Sensors human-machine interface (HMI) surface electromyography (sEMG) advanced driver assistance system (ADAS) automated driving |
| title | Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface |
| title_full | Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface |
| title_fullStr | Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface |
| title_full_unstemmed | Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface |
| title_short | Design and Evaluation of a Surface Electromyography-Controlled Steering Assistance Interface |
| title_sort | design and evaluation of a surface electromyography controlled steering assistance interface |
| topic | human-machine interface (HMI) surface electromyography (sEMG) advanced driver assistance system (ADAS) automated driving |
| url | http://www.mdpi.com/1424-8220/19/6/1308 |
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