Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography
Nowadays insight into human-machine interaction is a critical topic with the large-scale development of intelligent vehicles. Biosignal analysis can provide a deeper understanding of driver behaviors that may indicate rationally practical use of the automatic technology. Therefore, this study concen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-03-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/3/5136 |
| _version_ | 1818040233463119872 |
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| author | Rencheng Zheng Shigeyuki Yamabe Kimihiko Nakano Yoshihiro Suda |
| author_facet | Rencheng Zheng Shigeyuki Yamabe Kimihiko Nakano Yoshihiro Suda |
| author_sort | Rencheng Zheng |
| collection | DOAJ |
| description | Nowadays insight into human-machine interaction is a critical topic with the large-scale development of intelligent vehicles. Biosignal analysis can provide a deeper understanding of driver behaviors that may indicate rationally practical use of the automatic technology. Therefore, this study concentrates on biosignal analysis to quantitatively evaluate mental stress of drivers during automatic driving of trucks, with vehicles set at a closed gap distance apart to reduce air resistance to save energy consumption. By application of two wearable sensor systems, a continuous measurement was realized for palmar perspiration and masseter electromyography, and a biosignal processing method was proposed to assess mental stress levels. In a driving simulator experiment, ten participants completed automatic driving with 4, 8, and 12 m gap distances from the preceding vehicle, and manual driving with about 25 m gap distance as a reference. It was found that mental stress significantly increased when the gap distances decreased, and an abrupt increase in mental stress of drivers was also observed accompanying a sudden change of the gap distance during automatic driving, which corresponded to significantly higher ride discomfort according to subjective reports. |
| first_indexed | 2024-12-10T08:11:16Z |
| format | Article |
| id | doaj.art-81fa2fe7a60b41f99d4b99915e8d15e6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T08:11:16Z |
| publishDate | 2015-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-81fa2fe7a60b41f99d4b99915e8d15e62022-12-22T01:56:34ZengMDPI AGSensors1424-82202015-03-011535136515010.3390/s150305136s150305136Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter ElectromyographyRencheng Zheng0Shigeyuki Yamabe1Kimihiko Nakano2Yoshihiro Suda3Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, JapanNew Industry Creation Hatchery Center, Tohoku University, Sendai 980-8579, JapanInterfaculty Initiative in Information Studies, The University of Tokyo, Tokyo 153-8505, JapanInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, JapanNowadays insight into human-machine interaction is a critical topic with the large-scale development of intelligent vehicles. Biosignal analysis can provide a deeper understanding of driver behaviors that may indicate rationally practical use of the automatic technology. Therefore, this study concentrates on biosignal analysis to quantitatively evaluate mental stress of drivers during automatic driving of trucks, with vehicles set at a closed gap distance apart to reduce air resistance to save energy consumption. By application of two wearable sensor systems, a continuous measurement was realized for palmar perspiration and masseter electromyography, and a biosignal processing method was proposed to assess mental stress levels. In a driving simulator experiment, ten participants completed automatic driving with 4, 8, and 12 m gap distances from the preceding vehicle, and manual driving with about 25 m gap distance as a reference. It was found that mental stress significantly increased when the gap distances decreased, and an abrupt increase in mental stress of drivers was also observed accompanying a sudden change of the gap distance during automatic driving, which corresponded to significantly higher ride discomfort according to subjective reports.http://www.mdpi.com/1424-8220/15/3/5136biosignalelectromyographymassetermental stresspalmar perspiration |
| spellingShingle | Rencheng Zheng Shigeyuki Yamabe Kimihiko Nakano Yoshihiro Suda Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography Sensors biosignal electromyography masseter mental stress palmar perspiration |
| title | Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography |
| title_full | Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography |
| title_fullStr | Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography |
| title_full_unstemmed | Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography |
| title_short | Biosignal Analysis to Assess Mental Stress in Automatic Driving of Trucks: Palmar Perspiration and Masseter Electromyography |
| title_sort | biosignal analysis to assess mental stress in automatic driving of trucks palmar perspiration and masseter electromyography |
| topic | biosignal electromyography masseter mental stress palmar perspiration |
| url | http://www.mdpi.com/1424-8220/15/3/5136 |
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