Detecting Domestic Problems of Elderly People: Simple and Unobstrusive Sensors to Generate the Context of the Attended

Authors:
Juan A. Botia;Ana Villa;Jose T. Palma;David Pérez;Emilio Iborra
Affiliations:
Universidad de Murcia,;Universidad de Murcia,;Universidad de Murcia,;Universidad de Murcia,;Universidad de Murcia,
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

Citing 4
Cited 4

C4.5: programs for machine learning

C4.5: programs for machine learning
Machine Learning

Machine Learning
Learning and inferring transportation routines

Artificial Intelligence
A model for the measurement of patient activity in a hospital suite

IEEE Transactions on Information Technology in Biomedicine

Talking agents in ambient-assisted living

KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system

Personal and Ubiquitous Computing
Simulation of human behaviours for the validation of Ambient Intelligence services: A methodological approach

Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Chronobiology applied to the development of human behavior computational models

Journal of Ambient Intelligence and Smart Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

Unexpected falls and/or heart attacks at home are one of the main accidents the elderly face nowadays. This work focuses on elderly people which yet are independent and live alone in their own house. In such cases, the mentioned accidents may prevent her to ask for help as it is possible that she may lose conscience or stay paralyzed at the floor. In this paper, it is shown how a rule based classifier, designed by using simple a priori knowledge, which incorporates elderly's context information and simple adaptive mechanisms for this information, may be used to detect domestic accidents as quickly as possible.