Using Statistico-Relational Model for Activity Recognition in Smart Home

Alexis Brenon (1, 2) , François Portet (1, 2) , Michel Vacher (2, 1)

1 LIG - Laboratoire d'Informatique de Grenoble
2 GETALP - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole

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.

Mots clés: Activity Recognition; Markov Logic Network; Factor Graph; Smart Home

Domaines: Autre [cs.OH]

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⟩