Articolo in rivista, 2018, ENG, 10.3390/proceedings2020099

Computational topology to monitor human occupancy

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)

Keywords

WSN, Surveillance, Occupancy, Human behavior, Computational topology, Persistent homology

CNR authors

Moroni Davide, Giorgi Daniela, Barsocchi Paolo, Cassara Pietro, Pascali Maria Antonietta

CNR institutes

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