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Smart Sensors for Augmented Electrical Experiments
With the recent increase in the use of augmented reality (AR) in educational laboratory settings, there is a need for new intelligent sensor systems capturing all aspects of the real environment. We present a smart sensor system meeting these requirements for STEM (science, technology, engineering,...
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/PMC8749546/ https://www.ncbi.nlm.nih.gov/pubmed/35009805 http://dx.doi.org/10.3390/s22010256 |
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author | Kapp, Sebastian Lauer, Frederik Beil, Fabian Rheinländer, Carl C. Wehn, Norbert Kuhn, Jochen |
author_facet | Kapp, Sebastian Lauer, Frederik Beil, Fabian Rheinländer, Carl C. Wehn, Norbert Kuhn, Jochen |
author_sort | Kapp, Sebastian |
collection | PubMed |
description | With the recent increase in the use of augmented reality (AR) in educational laboratory settings, there is a need for new intelligent sensor systems capturing all aspects of the real environment. We present a smart sensor system meeting these requirements for STEM (science, technology, engineering, and mathematics) experiments in electrical circuits. The system consists of custom experiment boxes and cables combined with an application for the Microsoft HoloLens 2, which creates an AR experiment environment. The boxes combine sensors for measuring the electrical voltage and current at the integrated electrical components as well as a reconstruction of the currently constructed electrical circuit and the position of the sensor box on a table. Combing these data, the AR application visualizes the measurement data spatially and temporally coherent to the real experiment boxes, thus fulfilling demands derived from traditional multimedia learning theory. Following an evaluation of the accuracy and precision of the presented sensors, the usability of the system was evaluated with [Formula: see text] pupils in a German high school. In this evaluation, the usability of the system was rated with a system usability score of 94 out of 100. |
format | Online Article Text |
id | pubmed-8749546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87495462022-01-12 Smart Sensors for Augmented Electrical Experiments Kapp, Sebastian Lauer, Frederik Beil, Fabian Rheinländer, Carl C. Wehn, Norbert Kuhn, Jochen Sensors (Basel) Article With the recent increase in the use of augmented reality (AR) in educational laboratory settings, there is a need for new intelligent sensor systems capturing all aspects of the real environment. We present a smart sensor system meeting these requirements for STEM (science, technology, engineering, and mathematics) experiments in electrical circuits. The system consists of custom experiment boxes and cables combined with an application for the Microsoft HoloLens 2, which creates an AR experiment environment. The boxes combine sensors for measuring the electrical voltage and current at the integrated electrical components as well as a reconstruction of the currently constructed electrical circuit and the position of the sensor box on a table. Combing these data, the AR application visualizes the measurement data spatially and temporally coherent to the real experiment boxes, thus fulfilling demands derived from traditional multimedia learning theory. Following an evaluation of the accuracy and precision of the presented sensors, the usability of the system was evaluated with [Formula: see text] pupils in a German high school. In this evaluation, the usability of the system was rated with a system usability score of 94 out of 100. MDPI 2021-12-30 /pmc/articles/PMC8749546/ /pubmed/35009805 http://dx.doi.org/10.3390/s22010256 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 Kapp, Sebastian Lauer, Frederik Beil, Fabian Rheinländer, Carl C. Wehn, Norbert Kuhn, Jochen Smart Sensors for Augmented Electrical Experiments |
title | Smart Sensors for Augmented Electrical Experiments |
title_full | Smart Sensors for Augmented Electrical Experiments |
title_fullStr | Smart Sensors for Augmented Electrical Experiments |
title_full_unstemmed | Smart Sensors for Augmented Electrical Experiments |
title_short | Smart Sensors for Augmented Electrical Experiments |
title_sort | smart sensors for augmented electrical experiments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749546/ https://www.ncbi.nlm.nih.gov/pubmed/35009805 http://dx.doi.org/10.3390/s22010256 |
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