Thepresent studyproposes the implementationof anairqualitymeasurement tool through theuse of a swarm of wearable devices, namedWeAIR, consisting of wearable sensors formeasuringNOx,CO2,CO, temperature, humidity, andbarometricpressure.Datawillbestoredandprocessedina securecloudenvironment.Artificial Intelligencealgorithmswill beusedtovisualizeandmakeavailablereal-timepredictionsof future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizensinspaceandtime.Thenapre-processingphasewillallow us toappropriatelyhomogenizethecollecteddata,bymeansof theapplicationof innovativeartificial intelligencemethods.All thedatacollectedwill be embedded intoan integratedsystem withmultiplefunctions.Amongthem,animportantgoalwillalso betoraisecitizens’awarenessofclimatechange.
WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens’ Awareness of Climate Change / G.M. Dimitri, L. Parri, A. Pozzebon, E. Vitanza, A. Fort, C. Mocenni - In: 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)New York : IEEE, 2023. - ISBN 979-8-3503-0079-6. - pp. 98-103 (( convegno Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering tenutosi a Milano nel 2023 [10.1109/MetroXRAINE58569.2023.10405724].
WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens’ Awareness of Climate Change
G.M. DimitriPrimo
;
2023
Abstract
Thepresent studyproposes the implementationof anairqualitymeasurement tool through theuse of a swarm of wearable devices, namedWeAIR, consisting of wearable sensors formeasuringNOx,CO2,CO, temperature, humidity, andbarometricpressure.Datawillbestoredandprocessedina securecloudenvironment.Artificial Intelligencealgorithmswill beusedtovisualizeandmakeavailablereal-timepredictionsof future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizensinspaceandtime.Thenapre-processingphasewillallow us toappropriatelyhomogenizethecollecteddata,bymeansof theapplicationof innovativeartificial intelligencemethods.All thedatacollectedwill be embedded intoan integratedsystem withmultiplefunctions.Amongthem,animportantgoalwillalso betoraisecitizens’awarenessofclimatechange.
| File | Dimensione | Formato | |
|---|---|---|---|
|
Metro_WeAIR.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Licenza:
Nessuna licenza
Dimensione
1.2 MB
Formato
Adobe PDF
|
1.2 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
