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

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 th...

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Autores principales:	Rok Novak, Ioannis Petridis, David Kocman, Johanna Amalia Robinson, Tjaša Kanduč, Dimitris Chapizanis, Spyros Karakitsios, Benjamin Flückiger, Danielle Vienneau, Ondřej Mikeš, Céline Degrendele, Ondřej Sáňka, Saul García Dos Santos-Alves, Thomas Maggos, Demetra Pardali, Asimina Stamatelopoulou, Dikaia Saraga, Marco Giovanni Persico, Jaideep Visave, Alberto Gotti, Dimosthenis Sarigiannis
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	data fusion multi-sensor data visualization data treatment participant reports air quality Medicine R
Acceso en línea:	https://doaj.org/article/596392eaf76f42a58aa834f8cf4417b3
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spelling	oai:doaj.org-article:596392eaf76f42a58aa834f8cf4417b32021-11-11T16:43:17ZHarmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign10.3390/ijerph1821116141660-46011661-7827https://doaj.org/article/596392eaf76f42a58aa834f8cf4417b32021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11614https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Use 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.Rok NovakIoannis PetridisDavid KocmanJohanna Amalia RobinsonTjaša KandučDimitris ChapizanisSpyros KarakitsiosBenjamin FlückigerDanielle VienneauOndřej MikešCéline DegrendeleOndřej SáňkaSaul García Dos Santos-AlvesThomas MaggosDemetra PardaliAsimina StamatelopoulouDikaia SaragaMarco Giovanni PersicoJaideep VisaveAlberto GottiDimosthenis SarigiannisMDPI AGarticledata fusionmulti-sensordata visualizationdata treatmentparticipant reportsair qualityMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11614, p 11614 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data fusion multi-sensor data visualization data treatment participant reports air quality Medicine R
spellingShingle	data fusion multi-sensor data visualization data treatment participant reports air quality Medicine R Rok Novak Ioannis Petridis David Kocman Johanna Amalia Robinson Tjaša Kanduč Dimitris Chapizanis Spyros Karakitsios Benjamin Flückiger Danielle Vienneau Ondřej Mikeš Céline Degrendele Ondřej Sáňka Saul García Dos Santos-Alves Thomas Maggos Demetra Pardali Asimina Stamatelopoulou Dikaia Saraga Marco Giovanni Persico Jaideep Visave Alberto Gotti Dimosthenis Sarigiannis Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
description	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.
format	article
author	Rok Novak Ioannis Petridis David Kocman Johanna Amalia Robinson Tjaša Kanduč Dimitris Chapizanis Spyros Karakitsios Benjamin Flückiger Danielle Vienneau Ondřej Mikeš Céline Degrendele Ondřej Sáňka Saul García Dos Santos-Alves Thomas Maggos Demetra Pardali Asimina Stamatelopoulou Dikaia Saraga Marco Giovanni Persico Jaideep Visave Alberto Gotti Dimosthenis Sarigiannis
author_facet	Rok Novak Ioannis Petridis David Kocman Johanna Amalia Robinson Tjaša Kanduč Dimitris Chapizanis Spyros Karakitsios Benjamin Flückiger Danielle Vienneau Ondřej Mikeš Céline Degrendele Ondřej Sáňka Saul García Dos Santos-Alves Thomas Maggos Demetra Pardali Asimina Stamatelopoulou Dikaia Saraga Marco Giovanni Persico Jaideep Visave Alberto Gotti Dimosthenis Sarigiannis
author_sort	Rok Novak
title	Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
title_short	Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
title_full	Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
title_fullStr	Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
title_full_unstemmed	Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
title_sort	harmonization and visualization of data from a transnational multi-sensor personal exposure campaign
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/596392eaf76f42a58aa834f8cf4417b3
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Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign

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