Smart house automation system for the elderly and the disabled

To improve the quality of life for the elderly and disabled, a smart multisensor system based on advanced telecommunication and information technology has been developed. It is designed to monitor these people so as to bring them more security and safety without disturbing their life. The living habits and behaviour of the elderly are recorded with the multisensor system. Artificial neural networks (ANNs) are used to learn the habits of this group of people, thus any behavioural change can be diagnosed. The multisensor system along with the ANN methodology used for learning and some system functionalities are described. Results of habits learning are also given.