2026-04-29T05:37:39Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/142992025-05-12T09:28:02Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19610

00925njm 22002777a 4500 dc Novak, Rok author Petridis, Ioannis author Kocman, David author Robinson, Johanna Amalia author Kanduč, Tjaša author Chapizanis, Dimitris author Karakitsios, Spyros author Flückiger, Benjamin author Vienneau, Danielle author Mikeš, Ondřej author Degrendele, Céline author Sáňka, Ondřej author Garcia Dos Santos-Alves, Saul author Maggos, Thomas author Pardali, Demetra author Stamatelopoulou, Asimina author Saraga, Dikaia author Persico, Marco Giovanni author Visave, Jaideep author Gotti, Alberto author Sarigiannis, Dimosthenis author 2021-11-04 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. Int J Environ Res Public Health. 2021 Nov 4;18(21):11614. http://hdl.handle.net/20.500.12105/14299 34770131 10.3390/ijerph182111614 1660-4601 International Journal of Environmental Research and Public Health Air quality Data fusion Data treatment Data visualization Exposure assessment Multi-sensor Participant reports Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign