Proactive Remote Healthcare Based on Machine Learning Algorithms

Monitoring the user activities for a long period of time is not an easy task. Furthermore, our solution needs to be evaluated before being applied to a real user context. For that reason, we designed a simulator to acquire large data test without requiring for months of monitoring. Then, a IR recording system is proposed to monitor a real person in his environment. The results of this IR experimentation allow us to evaluate the application of our solution in a real context. The results of this work lie in the contribution of flexible solutions adapted to all kind of users, to give them more autonomy while facilitating their use of services. Minimizing the use of sensors, another contribution of this work is to lower the installation cost, meaning to increase the implementation possibility.

Autorentext
Bich Thanh, Truong Thi
The author obtained Bachelor degree and Master degree from the Institut Polytechnique de Grenoble in 2007. Doctoral degree was obtained from the University of Bretagne-Sud. She is currently a lecturer in Faculty of Electrical Engineering, Danang University of Science and Technology. She does her research on machine leaning and control algorithms