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Cloud-Assisted Mood Fatigue Detection System.

Authors :
Shi, Xiaobo
Hao, Yixue
Zeng, Delu
Wang, Lu
Hossain, M.
Mizanur Rahman, Sk
Alelaiwi, Abdulhameed
Source :
Mobile Networks & Applications. Oct2016, Vol. 21 Issue 5, p744-752. 9p.
Publication Year :
2016

Abstract

This paper introduces basic concept of mood fatigue detection and existing solutions as well as some typical solutions, such as mobile sensing and cloud computing technology. In the first place, we sum up main challenges of mood fatigue detection and the direction of future study. Then one type of system implementation is put forward, such system consists of: 1) Wearable devices used to detect the users' mood fatigue; 2) Clouds data center; 3) Application and service manager. We take overall consideration of many factors like the user's physiological information, external environment conditions and user behavior, evaluate accurately through big data analytic technology the users' state of mood fatigue and to what extent shall one keeps vigilant as well as what measures shall be adopted to improve the users' working performance and alert the users to keep themselves away from the danger. Finally a real system is established in this paper, it is composed of the smart clothing, cloud platform and mobile terminal application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1383469X
Volume :
21
Issue :
5
Database :
Academic Search Index
Journal :
Mobile Networks & Applications
Publication Type :
Academic Journal
Accession number :
118670599
Full Text :
https://doi.org/10.1007/s11036-016-0757-x