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Computational topology to monitor human occupancy

Articolo
Data di Pubblicazione:
2018
Abstract:
The recent advances in sensing technologies, embedded systems, and wireless communication technologies, make it possible to develop smart systems to monitor human activities continuously. The occupancy of specific areas or rooms in a smart building is an important piece of information, to infer the behavior of people, or to trigger an advanced surveillancemodule. We propose a method based on computational topology to infer the occupancy of a room monitored for a week by a system of low-cost sensors.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
WSN; Surveillance; Occupancy; Human behavior; Computational topology; Persistent homology
Elenco autori:
Moroni, Davide; Giorgi, Daniela; Barsocchi, Paolo; Cassara', Pietro; Pascali, MARIA ANTONIETTA
Autori di Ateneo:
BARSOCCHI PAOLO
CASSARA' PIETRO
GIORGI DANIELA
MORONI DAVIDE
PASCALI MARIA ANTONIETTA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/370672
Pubblicato in:
PROCEEDINGS (MDPI)
Journal
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URL

http://www.mdpi.com/2504-3900/2/2/99
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