Smart Home Design for Disabled People based on Neural Networks

被引:29
|
作者
Hussein, Ali [1 ,2 ]
Adda, Mehdi [2 ]
Atieh, Mirna [1 ]
Fahs, Walid [2 ]
机构
[1] Islamic Univ Lebanon, Khalde, Lebanon
[2] Univ Quebec, Rimouski, PQ, Canada
关键词
Smart Home; Artificial Intelligence; Feed-Forward Neural Network; Recurrent Neural Network; Automatic Adaptation; Insteon; ZigBee;
D O I
10.1016/j.procs.2014.08.020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (C) 2014 The Authors. Published by Elsevier B.V.
引用
收藏
页码:117 / +
页数:2
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