Using Statistico-Relational Model for Activity Recognition in Smart Home

Abstract : This paper presents the use of a model which mixes logical knowledge and statistical inference to recognize Activities of Daily Living (ADL) from sensors in a smart home. This model called Markov Logic Network (MLN) has different implementations and we propose to compare three of them, from the widely used Alchemy 1 to the new generic framework DeepDive 2. Finally, we discuss the interest these software products can have for real time activity recognition.
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Submitted on : Friday, October 30, 2015 - 3:47:04 PM
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Alexis Brenon, François Portet, Michel Vacher. Using Statistico-Relational Model for Activity Recognition in Smart Home. European Conference on Ambient Intelligence 2015 (AmI-15), Nov 2015, Athènes, Greece. ⟨hal-01222792⟩

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