Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Petutschnig, Andreas, Reichel, Steffen, Měchurová, Kristýna, Resch, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784775974653526016
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
work_keys_str_mv AT petutschnigandreas anediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT reichelsteffen anediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT mechurovakristyna anediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT reschbernd anediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT petutschnigandreas ediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT reichelsteffen ediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT mechurovakristyna ediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions
AT reschbernd ediaryappapproachforcollectingphysiologicalsensordatafromwearablestogetherwithsubjectiveobservationsandemotions