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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583633/ https://www.ncbi.nlm.nih.gov/pubmed/34770131 http://dx.doi.org/10.3390/ijerph182111614 |
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author | Novak, Rok Petridis, Ioannis Kocman, David Robinson, Johanna Amalia Kanduč, Tjaša Chapizanis, Dimitris Karakitsios, Spyros Flückiger, Benjamin Vienneau, Danielle Mikeš, Ondřej Degrendele, Céline Sáňka, Ondřej García Dos Santos-Alves, Saul Maggos, Thomas Pardali, Demetra Stamatelopoulou, Asimina Saraga, Dikaia Persico, Marco Giovanni Visave, Jaideep Gotti, Alberto Sarigiannis, Dimosthenis |
author_facet | Novak, Rok Petridis, Ioannis Kocman, David Robinson, Johanna Amalia Kanduč, Tjaša Chapizanis, Dimitris Karakitsios, Spyros Flückiger, Benjamin Vienneau, Danielle Mikeš, Ondřej Degrendele, Céline Sáňka, Ondřej García Dos Santos-Alves, Saul Maggos, Thomas Pardali, Demetra Stamatelopoulou, Asimina Saraga, Dikaia Persico, Marco Giovanni Visave, Jaideep Gotti, Alberto Sarigiannis, Dimosthenis |
author_sort | Novak, Rok |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8583633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85836332021-11-12 Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign Novak, Rok Petridis, Ioannis Kocman, David Robinson, Johanna Amalia Kanduč, Tjaša Chapizanis, Dimitris Karakitsios, Spyros Flückiger, Benjamin Vienneau, Danielle Mikeš, Ondřej Degrendele, Céline Sáňka, Ondřej García Dos Santos-Alves, Saul Maggos, Thomas Pardali, Demetra Stamatelopoulou, Asimina Saraga, Dikaia Persico, Marco Giovanni Visave, Jaideep Gotti, Alberto Sarigiannis, Dimosthenis Int J Environ Res Public Health Article 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. MDPI 2021-11-04 /pmc/articles/PMC8583633/ /pubmed/34770131 http://dx.doi.org/10.3390/ijerph182111614 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Novak, Rok Petridis, Ioannis Kocman, David Robinson, Johanna Amalia Kanduč, Tjaša Chapizanis, Dimitris Karakitsios, Spyros Flückiger, Benjamin Vienneau, Danielle Mikeš, Ondřej Degrendele, Céline Sáňka, Ondřej García Dos Santos-Alves, Saul Maggos, Thomas Pardali, Demetra Stamatelopoulou, Asimina Saraga, Dikaia Persico, Marco Giovanni Visave, Jaideep Gotti, Alberto Sarigiannis, Dimosthenis Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583633/ https://www.ncbi.nlm.nih.gov/pubmed/34770131 http://dx.doi.org/10.3390/ijerph182111614 |
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