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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.

Dimitri, G.M., Parri, L., Pozzebon, A., Vitanza, E., Fort, A., Mocenni, C. (2023). WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens’ Awareness of Climate Change. In Proceedings of 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (pp.98-103). New York : IEEE.

WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens’ Awareness of Climate Change

Giovanna Maria Dimitri
;Lorenzo Parri;Eleonora Vitanza;Ada Fort;Chiara Mocenni
2023-01-01

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.
2023
979-8-3503-0079-6
Dimitri, G.M., Parri, L., Pozzebon, A., Vitanza, E., Fort, A., Mocenni, C. (2023). WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens’ Awareness of Climate Change. In Proceedings of 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (pp.98-103). New York : IEEE.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1252074