Jennifer Renoux

This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. Expand

We present a new approach of combining advanced constraint-based planning with agent-based simulation to produce datasets that can be used for developing intelligent Smart Homes. Expand

We describe how home-based monitoring of frailty is addressed within MoveCare, specifically for the five Fried criteria. Expand

In this paper we address the problem of counting the number of agents in a topologically known environment using simple sensors that can indicate anonymous human presence. Expand

We present a multirobot model for active information gathering with a multi-robot system. Expand

We introduce an agent-based technology focused on promoting social and cognitive activities to elders, which exploits Machine Learning (ML) and Artificial Intelligence (AI) techniques. Expand

In this thesis, we address the problem of performing event exploration. Expand

We present a distributed decision-theoretic model dedicated to event exploration. Expand

We present a probabilistic approach able to estimate the number of persons in a Smart Home using pervasive sensors and a Hidden Markov Model. Expand