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.
Published in:
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Date of Conference: 13-15 Dec. 2010