Articolo in rivista, 2018, ENG, 10.3390/proceedings2020099
Barsocchi P.; Cassará P.; Giorgi D.; Moroni D.; Pascali M.A.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy;
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.
Proceedings (MDPI) 2 (2)
WSN, Surveillance, Occupancy, Human behavior, Computational topology, Persistent homology
Moroni Davide, Giorgi Daniela, Barsocchi Paolo, Cassara Pietro, Pascali Maria Antonietta
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 382739
Year: 2018
Type: Articolo in rivista
Creation: 2018-01-18 14:31:59.000
Last update: 2023-01-11 11:41:50.000
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:382739
DOI: 10.3390/proceedings2020099