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Cloud-Assisted Mood Fatigue Detection System

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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.

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Acknowledgments

The authors would like to extend their sincere appreciations to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for its funding of this research through the Profile Research Group project (PRG-1436-17).

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Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Xiaobo Shi, Yixue Hao & Lu Wang

  2. College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China

    Xiaobo Shi

  3. School of Mathematics, South China University of Technology, Guangzhou, 510640, China

    Delu Zeng

  4. Software Engineering Department, College of Computer and Information Science, King Saud University, Riyadh, 11543, Saudi Arabia

    M. Shamim Hossain & Abdulhameed Alelaiwi

  5. Information Systems Department, College of Computer and Information Science, King Saud University, Riyadh, 11543, Saudi Arabia

    Sk Md Mizanur Rahman

Authors
  1. Xiaobo Shi
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  2. Yixue Hao
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  3. Delu Zeng
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  4. Lu Wang
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  5. M. Shamim Hossain
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  6. Sk Md Mizanur Rahman
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  7. Abdulhameed Alelaiwi
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Correspondence to Delu Zeng.

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Cite this article

Shi, X., Hao, Y., Zeng, D. et al. Cloud-Assisted Mood Fatigue Detection System. Mobile Netw Appl 21, 744–752 (2016). https://doi.org/10.1007/s11036-016-0757-x

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  • DOI: https://doi.org/10.1007/s11036-016-0757-x

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