activity
20172021
most citedScene learning, recognition and similarity detection in a fuzzy ontology via human examples

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Human Activity Recognition Models in Ontology Networks

Luca Buoncompagni, Syed Yusha Kareem, Fulvio Mastrogiovanni

We present Arianna+, a framework to design networks of ontologies for representing knowledge enabling smart homes to perform human activity recognition online. In the network, node…

cs.AI2018

Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies

Syed Yusha Kareem, Luca Buoncompagni, Fulvio Mastrogiovanni

Aging population ratios are rising significantly. Meanwhile, smart home based health monitoring services are evolving rapidly to become a viable alternative to traditional healthca…

cs.AI2017

Towards a new paradigm for assistive technology at home: research challenges, design issues and performance assessment

Luca Buoncompagni, Barbara Bruno, Antonella Giuni +2

Providing elderly and people with special needs, including those suffering from physical disabilities and chronic diseases, with the possibility of retaining their independence at…

cs.AI20174 cited

Scene learning, recognition and similarity detection in a fuzzy ontology via human examples

Luca Buoncompagni, Fulvio Mastrogiovanni, Alessandro Saffiotti

This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to:…

cs.CY20172 cited

Arianna: towards a new paradigm for assistive technology at home

Luca Buoncompagni, Barbara Bruno, Antonella Giuni +2

Providing elderly and people with special needs to retain their independence as long as possible is one of the biggest challenges of the society of tomorrow. Teseo, a startup compa…