The present study proposes the implementation of an air quality measurement tool through the use of a swarm of wearable devices, named WeAIR, consisting of wearable sensors for measuring NOx, CO2, CO, temperature, humidity, and barometric pressure. Data will be stored and processed in a secure cloud environment. Artificial Intelligence algorithms will be used to visualize and make available real-time predictions of future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizens in space and time. Then a pre-processing phase will allow us to appropriately homogenize the collected data, by means of the application of innovative artificial intelligence methods. All the data collected will be embedded into an integrated system with multiple functions. Among them, an important goal will also be to raise citizens' awareness of climate change.

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

Pozzebon A.;
2023

Abstract

The present study proposes the implementation of an air quality measurement tool through the use of a swarm of wearable devices, named WeAIR, consisting of wearable sensors for measuring NOx, CO2, CO, temperature, humidity, and barometric pressure. Data will be stored and processed in a secure cloud environment. Artificial Intelligence algorithms will be used to visualize and make available real-time predictions of future states of air quality, by reconstructing spatio-temporal dynamical maps collected through the habitual movement of citizens in space and time. Then a pre-processing phase will allow us to appropriately homogenize the collected data, by means of the application of innovative artificial intelligence methods. All the data collected will be embedded into an integrated system with multiple functions. Among them, an important goal will also be to raise citizens' awareness of climate change.
2023
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings
2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023
File in questo prodotto:
File Dimensione Formato  
WeAIR_Wearable_Swarm_Sensors_for_Air_Quality_Monitoring_to_Foster_Citizens_Awareness_of_Climate_Change.pdf

Accesso riservato

Tipologia: Published (Publisher's Version of Record)
Licenza: Accesso privato - non pubblico
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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3511203
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact