An Efficient Cloud for Wellness Self-management Devices and Services

An Efficient Cloud for Wellness Self-management Devices and Services

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,...

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Hauptverfasser: Pei-Ching Yang, Jung-Hsien Chiang, Jen-Chu Liu, Yi-Lun Wen, Kuo-Yu Chuang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accelerometers
Cloud computing
Clouds
Data mining
delivering services
fusing data
Global Positioning System
Performance evaluation
persuasive technology
Support vector machines
wellness self-management
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Zusammenfassung: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.
DOI:10.1109/ICGEC.2010.194