A survey on the use of machine learning methods in context-aware middlewares for human activity recognition

L Miranda, J Viterbo, F Bernardini - Artificial Intelligence Review, 2022 - Springer
Human activity recognition (HAR) essentially uses (past) sensor data or complex context
information for inferring the activities a user performs in his daily tasks. HAR has been …

A framework for anomaly diagnosis in smart homes based on ontology

E Pardo, D Espes, P Le-Parc - Procedia computer science, 2016 - Elsevier
Smart homes are pervasive environments to enhance the comfort, the security, the safety
and the energy consumption of the residence. An ambient intelligence system uses …

[PDF][PDF] Environnement domotique pour l'e-santé

A Tiberkak - 2019 - dspace.usthb.dz
Ce travail présente un environnement domotique pour l'e-santé concrétisé par un système
de gestion d'urgences à domicile, HEMS (Home Emergency Management System). Le …

[PDF][PDF] Environnement domotique pour l'e-santé

T Allal - 2019 - lemlouma.com
Ce travail présente un environnement domotique pour l'e-santé concrétisé par un système
de gestion d'urgences à domicile, HEMS (Home Emergency Management System). Le …

[PDF][PDF] A Framework for Anomaly Diagnosis in Smart Homes combining Autonomous Robot and Smart Environment

D Espesa, E Pardoa, P Le Parca - 11th National Conference …, 2016 - lab-sticc.univ-brest.fr
Smart homes are pervasive environments that enhance the comfort, the security, the safety
and the energy consumption of the residence. One of the main application of smart homes is …

Energy management for the smart home

N Sikasote - 2017 - open.uct.ac.za
Utility providers are under constant pressure to meet the ever-increasing demand for energy
with a finite production capacity. Due to this, utility providers need to ensure that the demand …