Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign.

ABSTRACT: Use of a multi-sensor approach can provide citizens with holistic insights into the air quality of their immediate surroundings and their personal exposure to urban stressors. Our work, as part of the ICARUS H2020 project, which included over 600 participants from seven European cities, discusses the data fusion and harmonization of a diverse set of multi-sensor data streams to provide a comprehensive and understandable report for participants. Harmonizing the data streams identified issues with the sensor devices and protocols, such as non-uniform timestamps, data gaps, difficult data retrieval from commercial devices, and coarse activity data logging. Our process of data fusion and harmonization allowed us to automate visualizations and reports, and consequently provide each participant

SUBMITTER: Novak R 

PROVIDER: S-EPMC8583633 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature