Activity Mining in a Smart Home from Sequential and Temporal Databases

Josky Aízan; Josky Aízan; Cina Motamed; Eugene C. Ezin

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Paper

Activity Mining in a Smart Home from Sequential and Temporal Databases

Topics: Classification and Clustering; Machine Learning Methods; Motion Tracking and Action Recognition

In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 542-547, 2020 , Valletta, Malta

Authors: Josky Aízan ^{1

;

2} ; Cina Motamed ² and Eugene C. Ezin ¹

Affiliations: ¹ Institut de Mathématiques et de Sciences Physiques, Université d’Abomey-Calavi, Bénin ; ² Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Université du Littoral Côte d’Opale, France

Keyword(s): Sequential Pattern Mining, Smart Home, Activity of Daily Living.

Abstract: In this paper, we implement the Sequential Pattern Mining from Temporal Databases to learn activity in a smart home. The Pre-processing is firstly conducted on sensor data by taking into account the timestamp of sensor events. Then we extract typical activities using a sequential pattern mining algorithm. In order to perform activities’ recognition, features are extracted and activities are modeled. Experiments are carried out on the Massachusetts Institute of Technology (MIT) smart home data set. The results show the effectiveness of the proposed approach with 99% as recognition rate.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Aízan, J.; Motamed, C. and Ezin, E. (2020). Activity Mining in a Smart Home from Sequential and Temporal Databases. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 542-547. DOI: 10.5220/0009061105420547

@conference{icpram20,
author={Josky Aízan. and Cina Motamed. and Eugene C. Ezin.},
title={Activity Mining in a Smart Home from Sequential and Temporal Databases},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={542-547},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009061105420547},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Activity Mining in a Smart Home from Sequential and Temporal Databases
SN - 978-989-758-397-1
IS - 2184-4313
AU - Aízan, J.
AU - Motamed, C.
AU - Ezin, E.
PY - 2020
SP - 542
EP - 547
DO - 10.5220/0009061105420547
PB - SciTePress