@inproceedings{51e30e809af9444da3fca5acdc546c30,
title = "Distributed collaborative reasoning for HAR in smart homes",
abstract = "Distributed Human Activity Recognition (D-HAR) is an active research issue for pervasive computing that aims to identify human activities in smart homes. This paper proposes a fully distributed multi-agent reasoning approach where agents, with diverse classifiers, observe sensor data, make local predictions and collaborate to identify current activities. Experimental tests on Aruba dataset indicate an enhancement in terms of accuracy and F-measure metrics compared either to a centralized approach or a distributed approach from the literature.",
keywords = "Distributed activity recognition, Multi-agent system, Smart homes",
author = "Amina Jarraya and Amel Bouzeghoub and Amel Borgi and Khedija Arour",
note = "Publisher Copyright: {\textcopyright} 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 ; Conference date: 10-07-2018 Through 15-07-2018",
year = "2018",
month = jan,
day = "1",
language = "English",
isbn = "9781510868083",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1971--1973",
booktitle = "17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018",
}