DocumentCode
133671
Title
Indoor people localization and tracking using an energy harvesting smart floor
Author
Contigiani, Marco ; Frontoni, Emanuele ; Mancini, Antonella ; Gatto, Alberto
Author_Institution
Dipt. di Ing. dell´Inf. (DII), Univ. Politec. delle Marche, Ancona, Italy
fYear
2014
fDate
10-12 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
In the recent years, different kind of intelligent floors have been proposed but they are expensive and in many cases difficult to install and manage. In this paper, we previously describe the state of the art concerning smart floors designed to satisfy different applications and then we present an intelligent floor realized for localizing and tracking people in an indoor environment. The aim of this work is to propose an innovative smart floor based on an energy harvesting system able to allow the localization and analysis of the movement of the users in a specific space. The solution presented in this paper involves the use of capacitive sensors on a polymeric support to insert between solid wood and a wooden part of a floating parquet. The proposed system is part of HDOMO, an Ambient Assisted Living (AAL) project developing smart solutions for active aging. A detailed architecture of the smart floor is proposed together with a preliminary test phase.
Keywords
capacitive sensors; energy harvesting; floors; indoor environment; object tracking; AAL project; HDOMO; active aging; ambient assisted living project; capacitive sensors; energy harvesting system; indoor environment; indoor people localization; intelligent floors; polymeric support; smart floors; Aging; Capacitive sensors; Energy harvesting; Prototypes; Robot sensing systems; Solids; Energy Harvesting Indoor positioning; Intelligent home environment; Interaction thecnology; Smart floor; User identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Conference_Location
Senigallia
Print_ISBN
978-1-4799-2772-2
Type
conf
DOI
10.1109/MESA.2014.6935623
Filename
6935623
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