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A sensors-based monitoring system of electrical consumptions and home parameters remotely managed by mobile app for elderly habits' control

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jun 2019 Italy Publisher:IEEEJournal:2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)

Authors: Paolo Visconti; Paolo Costantini; Roberto de Fazio; Aimè Lay-Ekuakille; Luigi Patrono;

doi: 10.1109/iwasi.2019.8791399 , 10.13140/rg.2.2.17873.99688

handle: 11587/431059

A sensors-based monitoring system of electrical consumptions and home parameters remotely managed by mobile app for elderly habits' control

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Abstract

This paper proposes an innovative system for monitoring domestic energy consumptions and for verifying the behavior of less-sufficient people during their everyday home life, on the basis of their interaction with surrounding environment and with household electrical appliances. It is composed by three different acquisition sections, a remote server for data storage and processing and an Android mobile application for remote data access. The remote application allows the user to check in almost real time the power absorptions of the monitored house, in addition to other environmental parameters acquired through different sensing technologies.

Country

Italy

Related Organizations

University of Salento
Italy

Keywords

Internet of Things; Remote control; Smart meters; Power monitoring; Energy saving; Smart buildings; Mobile app; Cloud; Less-sufficient people.

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average