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- Publisher Website: 10.1007/978-3-319-33681-7_1
- Scopus: eid_2-s2.0-84978215420
- WOS: WOS:000393328700001
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Conference Paper: A survey on mobile sensing based mood-fatigue detection for drivers
| Title | A survey on mobile sensing based mood-fatigue detection for drivers |
|---|---|
| Authors | |
| Keywords | Mobile sensing Mood-fatigue detection Vehicular sensor application |
| Issue Date | 2016 |
| Publisher | Springer. |
| Citation | First EAI International Summit, Smart City 360°, 13-16 October 2015, Bratislava, Slovakia and Toronto, Canada. In Smart City 360°, p. 3-15. Cham, Switzerland: Springer, 2016 How to Cite? |
| Abstract | © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016. The rapid development of the Internet of Things (IoT) has provided innovative solutions to reduce traffic accidents caused by fatigue driving. When drivers are in bad mood or tired, their vigilance level decreases, which may prolong the reaction time to emergency situation and lead to serious accidents. With the help of mobile sensing and mood-fatigue detection, drivers’ moodfatigue status can be detected while driving, and then appropriate measures can be taken to eliminate the fatigue or negative mood to increase the level of vigilance. This paper presents the basic concepts and current solutions of moodfatigue detection and some common solutions like mobile sensing and cloud computing techniques. After that, we introduce some emerging platforms which designed to promote safe driving. Finally, we summarize the major challenges in mood-fatigue detection of drivers, and outline the future research directions. |
| Persistent Identifier | http://hdl.handle.net/10722/281508 |
| ISBN | |
| ISSN | 2020 SCImago Journal Rankings: 0.142 |
| ISI Accession Number ID | |
| Series/Report no. | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering ; 166 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tu, Wei | - |
| dc.contributor.author | Wei, Lei | - |
| dc.contributor.author | Hu, Wenyan | - |
| dc.contributor.author | Sheng, Zhengguo | - |
| dc.contributor.author | Nicanfar, Hasen | - |
| dc.contributor.author | Hu, Xiping | - |
| dc.contributor.author | Ngai, Edith C.H. | - |
| dc.contributor.author | Leung, Victor C.M. | - |
| dc.date.accessioned | 2020-03-13T10:38:02Z | - |
| dc.date.available | 2020-03-13T10:38:02Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | First EAI International Summit, Smart City 360°, 13-16 October 2015, Bratislava, Slovakia and Toronto, Canada. In Smart City 360°, p. 3-15. Cham, Switzerland: Springer, 2016 | - |
| dc.identifier.isbn | 9783319336800 | - |
| dc.identifier.issn | 1867-8211 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/281508 | - |
| dc.description.abstract | © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016. The rapid development of the Internet of Things (IoT) has provided innovative solutions to reduce traffic accidents caused by fatigue driving. When drivers are in bad mood or tired, their vigilance level decreases, which may prolong the reaction time to emergency situation and lead to serious accidents. With the help of mobile sensing and mood-fatigue detection, drivers’ moodfatigue status can be detected while driving, and then appropriate measures can be taken to eliminate the fatigue or negative mood to increase the level of vigilance. This paper presents the basic concepts and current solutions of moodfatigue detection and some common solutions like mobile sensing and cloud computing techniques. After that, we introduce some emerging platforms which designed to promote safe driving. Finally, we summarize the major challenges in mood-fatigue detection of drivers, and outline the future research directions. | - |
| dc.language | eng | - |
| dc.publisher | Springer. | - |
| dc.relation.ispartof | Smart City 360° | - |
| dc.relation.ispartofseries | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering ; 166 | - |
| dc.subject | Mobile sensing | - |
| dc.subject | Mood-fatigue detection | - |
| dc.subject | Vehicular sensor application | - |
| dc.title | A survey on mobile sensing based mood-fatigue detection for drivers | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-319-33681-7_1 | - |
| dc.identifier.scopus | eid_2-s2.0-84978215420 | - |
| dc.identifier.spage | 3 | - |
| dc.identifier.epage | 15 | - |
| dc.identifier.isi | WOS:000393328700001 | - |
| dc.publisher.place | Cham, Switzerland | - |
| dc.identifier.issnl | 1867-8211 | - |