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A Survey on Mobile Sensing Based Mood-Fatigue Detection for Drivers
Wuhan Univ, Coll Comp, Wuhan, Peoples R China..
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China..
Carnegie Mellon Univ, Sch Comp Sci, Pittsburgh, PA 15213 USA..
Univ Sussex, Dept Engn & Design, Brighton, E Sussex, England..
Show others and affiliations
2016 (English)In: SMART CITY 360 / [ed] LeonGarcia, A Lenort, R Holman, D Stas, D Krutilova, V Wicher, P Caganova, D Spirkova, D Golej, J Nguyen, K, SPRINGER INT PUBLISHING AG , 2016, 3-15 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
SPRINGER INT PUBLISHING AG , 2016. 3-15 p.
Series
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, ISSN 1867-8211 ; 166
Keyword [en]
Mobile sensing, Mood-fatigue detection, Vehicular sensor application
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-321046DOI: 10.1007/978-3-319-33681-7_1ISI: 000393328700001ISBN: 9783319336817 (print)ISBN: 9783319336800 (print)OAI: oai:DiVA.org:uu-321046DiVA: diva2:1091822
Conference
International Conference on Smart Urban Mobility Services (SUMS), OCT 13-14, 2015, Toronto, CANADA
Available from: 2017-04-28 Created: 2017-04-28 Last updated: 2017-04-28Bibliographically approved

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CiteExportLink to record
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Citation style
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Language
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