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