Image Processing Based Services for Ambient Assistant Scenarios

Authors:
Elena Romero;Álvaro Araujo;José M. Moya;Juan-Mariano Goyeneche;Juan Carlos Vallejo;Pedro Malagón;Daniel Villanueva;David Fraga
Affiliations:
Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Dpto. Ingeniería Electrónica, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Abstract

Guaranteeing ubiquity and appropriateness of security and monitoring services provision to the users constitutes a priority issue for the authorities. This paper presents an innovative Wireless Personal Area Network architecture that takes advantage of some of the features provided by Intelligent Environments -large number of devices, heterogeneous networks and mobility enhancement- in order to adapt and personalise ambient conditions to the user profile. This system is based on image processing and its main aim is to provide an AAL solution that is integrated with other control devices for the home to make everyday tasks easier for users.