A Wireless Sensor Network for Assisted Living at Home of Elderly People

  • Authors:
  • Francisco Fernández-Luque;Juan Zapata;Ramón Ruiz;Emilio Iborra

  • Affiliations:
  • Depto. Electrónica, Tecnología de Computadoras y Proyectos ETSIT- Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Politécnica de Cartagena, Ca ...;Depto. Electrónica, Tecnología de Computadoras y Proyectos ETSIT- Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Politécnica de Cartagena, Ca ...;Depto. Electrónica, Tecnología de Computadoras y Proyectos ETSIT- Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Politécnica de Cartagena, Ca ...;Depto. Electrónica, Tecnología de Computadoras y Proyectos ETSIT- Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Politécnica de Cartagena, Ca ...

  • Venue:
  • IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
  • Year:
  • 2009

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Abstract

This paper introduces an ubiquitous wireless network infrastructure to support an assisted living at home system. This system integrates a set of smart sensors which are designed to provide care assistence and security to elderly citizens living at home alone. The system facilitates privacy by performing local computation, it supports heterogeneous sensor devices and it provides a platform and initial architecture for exploring the use of sensors with elderly people. We have developed a low-power multihop network protocol consists of nodes (Motes) that wirelessly communicate to each other and are capable of hopping radio messages to a base station where they are passed to a PC (or other possible client). The goal of this project is to provide alerts to caregivers in the event of an accident, acute illness or strange (possibly dangerous) activities, and enable monitoring by authorized and authenticated caregivers. In this paper, we describe ubiquitous assistential monitoring system at home. We have focused on the unobtrusive habitual activities signal measurement and wireless data transfer using ZigBee technology.