The proposed system performs activity modeling via Markov Logic Network, a machine learning strategy that combines probabilistic reasoning and logical reasoning ...

Composite activity recognition in smart homes using. Markov Logic Network. K.S.Gayathri. Sri Venkateswara College of Engineering,. Sriperumbudur - 602117, India ...

Activity recognition is the task involved in reasoning within smart homes with the aim of recognizing the ongoing activity of the occupant. Constructing an ...

Constructing an activity model is essential to carry out recognition and is achieved through various machine learning and artificial intelligence techniques.

TL;DR: The proposed system performs activity modeling via Markov Logic Network, a machine learning strategy that combines probabilistic reasoning and ...

Dec 9, 2014 · The proposed system performs activity modeling via Markov Logic Network, a machine learning strategy that combines probabilistic reasoning and ...

In this paper, we propose a method to extract latent features from sensor data by Beta Process Hidden Markov Model (BP-HMM). The contributions of our method are ...

Apr 1, 2017 · The proposed system augments ontology based activity recognition with probabilistic reasoning through Markov Logic Network (MLN) which is a ...

Composite activity recognition in smart homes using Markov logic network. KS Gayathri, S Elias, S Shivashankar. 2015 IEEE 12th Intl Conf on Ubiquitous ...

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 ...