Cloud-Assisted Mood Fatigue Detection System

被引:4
|
作者
Shi, Xiaobo [1 ,2 ]
Hao, Yixue [1 ]
Zeng, Delu [3 ]
Wang, Lu [1 ]
Hossain, M. Shamim [4 ]
Rahman, Sk Md Mizanur [5 ]
Alelaiwi, Abdulhameed [4 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan 430074, Peoples R China
[2] Henan Normal Univ, Coll Comp & Informat Engn, Xinxiang 453007, Peoples R China
[3] South China Univ Technol, Sch Math, Guangzhou 510640, Guangdong, Peoples R China
[4] King Saud Univ, Software Engn Dept, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
[5] King Saud Univ, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
来源
MOBILE NETWORKS & APPLICATIONS | 2016年 / 21卷 / 05期
关键词
Mood fatigue; Deep learning; Convolution auto-encoder; CYBER-PHYSICAL SYSTEMS; FACE RECOGNITION; MOBILE; OPTIMIZATION; ARCHITECTURE; NETWORK;
D O I
10.1007/s11036-016-0757-x
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:744 / 752
页数:9
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