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Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published

Publication date2010
Host publicationECAI 2010 - 19th European Conference on Artificial Intelligence
EditorsH Coelho, R Studer, M Wooldridge
Place of publicationAmsterdam
PublisherIOS Press
Pages1047-1048
Number of pages2
ISBN (Print)978-1-60750-606-5
Original languageEnglish

Conference

Conference19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS)
CityLisbon
Period16/08/1020/08/10

Conference

Conference19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS)
CityLisbon
Period16/08/1020/08/10

Abstract

In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These sequences are treated using statistical methods in order to discover activity patterns. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Systems.