z-logo
open-access-imgOpen Access
Smart Home Design for Disabled People based on Neural Networks
Author(s) -
Ali Zuhair Hussein,
Mehdi Adda,
Mirna Atieh,
Walid Fahs
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.020
Subject(s) - computer science , home automation , disabled people , everyday life , human–computer interaction , work (physics) , space (punctuation) , multimedia , telecommunications , mechanical engineering , psychology , cerebral palsy , psychiatry , political science , law , engineering , operating system
Toward facilitating the everyday life of disabled people researches have put together technologies such as computing, networking and telecommunication in one environment called a Smart Home. Enabling disabled people to overcome their handicap by providing a system that replaces what they lack is what makes such a work interesting and important. We have developed such a space by stepping ahead of past researches and not only reaching a preprogrammed automatic home, but also a learning and self-adapting intelligent home. This was accomplished by integrating two types of neural networks to our system. To show the effectiveness of the system, we developed a first prototype that covers parts of the theoretical design. Further work can be done by actually transforming our prototype to an actual house where disabled people may benefit from

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom