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An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions
Field measurement campaigns with traffic participants using wearable sensors and questionnaires can be challenging to carry out because of inconsistent interfaces across manufacturers for accessing sensor data and campaign-specific questionnaire contents bear large potential for errors. We present a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414387/ https://www.ncbi.nlm.nih.gov/pubmed/36015881 http://dx.doi.org/10.3390/s22166120 |
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author | Petutschnig, Andreas Reichel, Steffen Měchurová, Kristýna Resch, Bernd |
author_facet | Petutschnig, Andreas Reichel, Steffen Měchurová, Kristýna Resch, Bernd |
author_sort | Petutschnig, Andreas |
collection | PubMed |
description | Field measurement campaigns with traffic participants using wearable sensors and questionnaires can be challenging to carry out because of inconsistent interfaces across manufacturers for accessing sensor data and campaign-specific questionnaire contents bear large potential for errors. We present an app able to consolidate data from multiple technical sensors and questionnaires. The functionality includes providing feedback for correct sensor platform mounting, accessing and storing all sensor and questionnaire data in a uniform data structure. To do this, the app implements a sensor data bus class that unifies data from technical sensors and questionnaires. The app can also be extended to accommodate other sensor platforms provided they have a suitable API. We also describe a database structure holding the data from multiple campaigns and test subjects in a privacy preserving fashion. Finally, we identify some potential issues and hints that practitioners may encounter when conducting a measurement campaign. |
format | Online Article Text |
id | pubmed-9414387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94143872022-08-27 An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions Petutschnig, Andreas Reichel, Steffen Měchurová, Kristýna Resch, Bernd Sensors (Basel) Article Field measurement campaigns with traffic participants using wearable sensors and questionnaires can be challenging to carry out because of inconsistent interfaces across manufacturers for accessing sensor data and campaign-specific questionnaire contents bear large potential for errors. We present an app able to consolidate data from multiple technical sensors and questionnaires. The functionality includes providing feedback for correct sensor platform mounting, accessing and storing all sensor and questionnaire data in a uniform data structure. To do this, the app implements a sensor data bus class that unifies data from technical sensors and questionnaires. The app can also be extended to accommodate other sensor platforms provided they have a suitable API. We also describe a database structure holding the data from multiple campaigns and test subjects in a privacy preserving fashion. Finally, we identify some potential issues and hints that practitioners may encounter when conducting a measurement campaign. MDPI 2022-08-16 /pmc/articles/PMC9414387/ /pubmed/36015881 http://dx.doi.org/10.3390/s22166120 Text en © 2022 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 Petutschnig, Andreas Reichel, Steffen Měchurová, Kristýna Resch, Bernd An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title | An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title_full | An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title_fullStr | An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title_full_unstemmed | An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title_short | An eDiary App Approach for Collecting Physiological Sensor Data from Wearables together with Subjective Observations and Emotions |
title_sort | ediary app approach for collecting physiological sensor data from wearables together with subjective observations and emotions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414387/ https://www.ncbi.nlm.nih.gov/pubmed/36015881 http://dx.doi.org/10.3390/s22166120 |
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