Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign.
Int J Environ Res Public Health
; 18(21)2021 11 04.
Article
en En
| MEDLINE
| ID: mdl-34770131
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 with a detailed individualized report. Results showed that a key solution was to streamline the code and speed up the process, which necessitated certain compromises in visualizing the data. A thought-out process of data fusion and harmonization of a diverse set of multi-sensor data streams considerably improved the quality and quantity of distilled data that a research participant received. Though automation considerably accelerated the production of the reports, manual and structured double checks are strongly recommended.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Contaminación del Aire
Límite:
Humans
Idioma:
En
Revista:
Int J Environ Res Public Health
Año:
2021
Tipo del documento:
Article
País de afiliación:
Eslovenia