Using Statistico-Relational Model for Activity Recognition in Smart Home

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 to the new generic framework DeepDive. Finally, we discuss the interest these software products can have for real time activity recognition.

• Type: Journal
• Year: 2015
• Where: AMI
• Authors: Alexis Brenon, François Portet, Michel Vacher
• Keywords: AMI 2015, Artificial Intelligence