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Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. / Antonio Iglesias, Jose; Angelov, Plamen; Ledezma, Agapito; Sanchis, Araceli.

ECAI 2010 - 19th European Conference on Artificial Intelligence. ed. / H Coelho; R Studer; M Wooldridge. Amsterdam : IOS Press, 2010. p. 1047-1048.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Antonio Iglesias, J, Angelov, P, Ledezma, A & Sanchis, A 2010, Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. in H Coelho, R Studer & M Wooldridge (eds), ECAI 2010 - 19th European Conference on Artificial Intelligence. IOS Press, Amsterdam, pp. 1047-1048, 19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS), Lisbon, 16/08/10. https://doi.org/10.3233/978-1-60750-606-5-1047

APA

Antonio Iglesias, J., Angelov, P., Ledezma, A., & Sanchis, A. (2010). Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. In H. Coelho, R. Studer, & M. Wooldridge (Eds.), ECAI 2010 - 19th European Conference on Artificial Intelligence (pp. 1047-1048). IOS Press. https://doi.org/10.3233/978-1-60750-606-5-1047

Vancouver

Antonio Iglesias J, Angelov P, Ledezma A, Sanchis A. Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. In Coelho H, Studer R, Wooldridge M, editors, ECAI 2010 - 19th European Conference on Artificial Intelligence. Amsterdam: IOS Press. 2010. p. 1047-1048 https://doi.org/10.3233/978-1-60750-606-5-1047

Author

Antonio Iglesias, Jose ; Angelov, Plamen ; Ledezma, Agapito ; Sanchis, Araceli. / Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010 - 19th European Conference on Artificial Intelligence. editor / H Coelho ; R Studer ; M Wooldridge. Amsterdam : IOS Press, 2010. pp. 1047-1048

Bibtex

@inproceedings{a84e7857c90542ad9916ab37d9fcc897,
title = "Human Activity Recognition in Intelligent Home Environments: An Evolving Approach",
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.",
author = "{Antonio Iglesias}, Jose and Plamen Angelov and Agapito Ledezma and Araceli Sanchis",
year = "2010",
doi = "10.3233/978-1-60750-606-5-1047",
language = "English",
isbn = "978-1-60750-606-5",
pages = "1047--1048",
editor = "H Coelho and R Studer and M Wooldridge",
booktitle = "ECAI 2010 - 19th European Conference on Artificial Intelligence",
publisher = "IOS Press",
note = "19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS) ; Conference date: 16-08-2010 Through 20-08-2010",

}

RIS

TY - GEN

T1 - Human Activity Recognition in Intelligent Home Environments: An Evolving Approach

AU - Antonio Iglesias, Jose

AU - Angelov, Plamen

AU - Ledezma, Agapito

AU - Sanchis, Araceli

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.3233/978-1-60750-606-5-1047

DO - 10.3233/978-1-60750-606-5-1047

M3 - Conference contribution/Paper

SN - 978-1-60750-606-5

SP - 1047

EP - 1048

BT - ECAI 2010 - 19th European Conference on Artificial Intelligence

A2 - Coelho, H

A2 - Studer, R

A2 - Wooldridge, M

PB - IOS Press

CY - Amsterdam

T2 - 19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS)

Y2 - 16 August 2010 through 20 August 2010

ER -