1-2 juin 2023 Paris Saint Denis (France)

Accès publications par auteur > Losada Camila

Home Human behaviour monitoring based on recorded data from existing smart thermostat in North American houses
Daphne Bard  1@  , Camila Losada  1@  , Imad Rida  1@  , Plinio Morita  2@  , Dan Istrate  1@  , Vincent Zalc  3@  
1 : Université de technologie de Compiègne, CNRS, Biomechanics and Bioengineering, Centre de recherche Royallieu – Compiègne, France
utc
2 : University of Waterloo [Waterloo]
3 : Université de technologie de Compiègne, CNRS, Biomechanics and Bioengineering, Centre de recherche Royallieu – Compiègne, France
utc

In the context of increasing life expectation and the wish of elderly people to life home, monitoring system able to identify activities are needed. In order to develop this type of system large data base are needed. A possible solution is to use information from existing sensors used for other applications. In this paper we propose an approach of machine learning algorithms applied on a large data from Ecobee sensors in many houses in North America. The first results of classification are encouraging.


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