DocumentCode :
2541831
Title :
An Efficient Cloud for Wellness Self-management Devices and Services
Author :
Yang, Pei-Ching ; Chiang, Jung-Hsien ; Liu, Jen-Chu ; Wen, Yi-Lun ; Chuang, Kuo-Yu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2010
fDate :
13-15 Dec. 2010
Firstpage :
767
Lastpage :
770
Abstract :
This paper presents a systematic design of an efficient cloud framework for wellness self-management devices and services. The innovative wellness self-management devices and services performs the following functions: (1) Collecting GPS, accelerometer, temperature, image data and personal profiles, (2) Fusing data and recognizing the state, (3) Performing predictive constantly analytics on the sequence of states & data, (4) Delivering services, as needed, for each client member. The next phase of this research will conduct more health services by users´ feedback and add persuasive technology to reach usability.
Keywords :
Global Positioning System; cloud computing; health care; innovation management; sensor fusion; GPS; accelerometer; cloud framework; data fusion; health service; image data; personal profile; persuasive technology; self management device; self management service; user feedback; Accelerometers; Cloud computing; Clouds; Data mining; Global Positioning System; Performance evaluation; Support vector machines; delivering services; fusing data; persuasive technology; wellness self-management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
Type :
conf
DOI :
10.1109/ICGEC.2010.194
Filename :
5715544
Link To Document :
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