Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00124127" target="_blank" >RIV/00216224:14310/21:00124127 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1660-4601/18/21/11614" target="_blank" >https://www.mdpi.com/1660-4601/18/21/11614</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijerph182111614" target="_blank" >10.3390/ijerph182111614</a>
Alternative languages
Result language
angličtina
Original language name
Harmonization and Visualization of Data from a Transnational Multi-Sensor Personal Exposure Campaign
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30304 - Public and environmental health
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Environmental Research and Public Health
ISSN
1660-4601
e-ISSN
1660-4601
Volume of the periodical
18
Issue of the periodical within the volume
21
Country of publishing house
CH - SWITZERLAND
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000718579500001
EID of the result in the Scopus database
2-s2.0-85118357849