name of the application

Air Casting


author(s), year


short description of the application (one-two sentences)

AirCasting is an open-source, end-to-end solution for collecting, displaying, and sharing health and environmental data using your smartphone. The platform consists of wearable sensors that detect changes in your environment and physiology, including a palm-sized air quality monitor called the AirBeam, the AirCasting Android app, the AirCasting website, and wearable LED accessories.


status of deployment (for example: real-life project, testing, demonstration,…)


target population

general, public transportation, users, car drivers, truck drivers, children, cyclists,…

general public

software type

open-source (in order to make unique campaigns) or proprietary software

proprietary software

mode of operation

stationary, portable, wearable, …



who can launch a campaign


air quality sensing technologies

which type of sensors or methodes are used to obtain air quality measurements. “Direct” methods refer to devoted sensing devices bought and used by the costumer, “indirect” methods to data collection methods from offial air quality networks

pollution sensors, meteo sensors, health sensors, noise and location

other sensing technologies

for example meteorological data, positioning data, …

other direct sensor measurements can be added

quantitative: what kind of data is measured

speed, distance, noise, location,…

air quality data, activity level, biometrics

what type of qualitative data is gathered

AirCasters can record, map, and share sound level, temp, humidity, PM2.5, CO, NO2, heart rate and heart rate variability, breathing rate, activity level, acceleration and core temperature

what kind of data is calculated

CO², cost, health, … / What is the basis of calculation (e.g. reference database, European guidelines for external costs, etc.)

reponses to sensor measurements

reporting method

which reporting method is used (for example: website or directly on the smartphone’s app, heat maps, dashboard, and/or reports)

smartphone application


method of reporting (visualisation) of the collected data (qualitative representation can be a red or a green light, a text explaining the progress, while quantitative representation consists of numbers or statistics

on top of the mobile application, AirCasting Luminescent Accessories connect to the AirCasting app over Bluetooth to illuminate LEDs in response to the sensor measurements received by the AirCasting app: green for low intensity, then yellow, then orange, and red for high intensity.


self-monitoring, gamification, rewards, social networks,…


applicability of results

are the results useable for policy-makers and how can they obtain this information?

not defined


gaps and limitations of the campaign or application



other important remarks for the review, links to other projects,

functionalities for sharing of collected data

quantitative data source

air quality measurements with own device (direct) OR air quality data from official stations or other installed air quality networks (indirect) OR both


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