Artificial Neural Networks in Smart Homes

  • Rezaul Begg
  • Rafiul Hassan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4008)


Many wonderful technological developments in recent years have opened up the possibility of using smart or intelligent homes for a number of important applications. Typical applications range from overall lifestyle improvement to helping people with special needs such as the elderly and the disabled to improve their independence, safety and security at home. Research in the area has looked into ways of making the home environment automatic and automated devices have been designed to help the disabled people. Also, possibilities of automated health monitoring systems and usage of automatic controlled devices to replace caregiver and housekeeper have received significant attention. Most of the models require acquisition of useful information from the environment, identification of the significant features and finally usage of some sort of machine learning techniques for decision making and planning for the next action to be undertaken. This chapter specifically focuses on neural networks applications in building a smart home environment.


Artificial Neural Network Recurrent Neural Network Ubiquitous Computing Smart Home Smoke Alarm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rezaul Begg
    • 1
  • Rafiul Hassan
    • 2
  1. 1.Centre for Ageing, Rehabilitation, Exercise & SportVictoria UniversityMelbourneAustralia
  2. 2.Department of Computer Science & Software EngineeringThe University of MelbourneAustralia

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