PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Miori V., Russo D. Preventing health emergencies in an unobtrusive way. vol. I R. Giaffreda, R. Vieriu, E. Pasher, G. Bendersky, A. Jara, J. Rodrigues, E. Dekel, B. Mandler. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 150). Heidelberg, Germany: Springer, 2015.
 
 
Abstract
(English)
The Ambient Intelligence (AmI) paradigm represents the vision of the next wave of computing. By relying on various computing and networking techniques, AmI systems have the potential to enhance our everyday lives in many different aspects. One area in which widespread application of this innovative paradigm promises particularly significant benefits is health care. The work presented here contributes to realizing such promise by proposing a mfunctioning software application able to learn the behaviors and habits, and thereby anticipate the needs, of inhabitants living in a technological menvironment, such as a smart house or city. The result is a health care system that can actively contribute to anticipating, and thereby preventing, emergency situations to provide greater autonomy and safety to disabled or elderly occupants, especially in cases of critical illness.
URL: http://link.springer.com/chapter/10.1007/978-3-319-19656-5_35
DOI: 10.1007/978-3-319-19656-5_35
Subject Ambient Intelligence
Association Rules
DomoNet
Domotics
Home Automation
Machine Learning
Web Services
I.2.1 Applications and Expert Systems


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional