Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT

In tertiary education, disciplines such as sports science that require experimental components in their courses represent a significant challenge for online and distance education. This paper demonstrates the design and construction of an enriched experiment, together with the prototype software sol...

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Bibliographic Details
Main Authors: Joel Benesha, Jim Lee, Daniel A. James, Barbara White
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Proceedings
Subjects:
IoT
Online Access:https://www.mdpi.com/2504-3900/49/1/110
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spelling doaj-bb218a5d79c045d0bf9cb7b0c40f27642020-11-25T03:06:15ZengMDPI AGProceedings2504-39002020-06-014911011010.3390/proceedings2020049110Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoTJoel Benesha0Jim Lee1Daniel A. James2Barbara White3SABEL Labs, College of Health and Human Sciences, Charles Darwin University, 0810 Darwin, AustraliaSABEL Labs, College of Health and Human Sciences, Charles Darwin University, 0810 Darwin, AustraliaSABEL Labs, College of Health and Human Sciences, Charles Darwin University, 0810 Darwin, AustraliaSABEL Labs, College of Health and Human Sciences, Charles Darwin University, 0810 Darwin, AustraliaIn tertiary education, disciplines such as sports science that require experimental components in their courses represent a significant challenge for online and distance education. This paper demonstrates the design and construction of an enriched experiment, together with the prototype software solution which can all be operated remotely using a web-based client. It presents research that investigated how to visualise data from internet of things (IoT) sensor devices (inertial sensor) used for tracking football sideline throw-ins. In this simple experiment, data was collected from one footballer, fitted with a single inertial sensor. A two-dimensional (2D) video, three-dimensional (3D) motion capture system and inertial sensor were all used to detect the release point of a sideline ball throw-in. In this project, inertial sensor data was used to create a 3D model using web graphical language and three.js.https://www.mdpi.com/2504-3900/49/1/110IoTvisualizationvirtual technologyaugmented technologywearable technology
collection DOAJ
language English
format Article
sources DOAJ
author Joel Benesha
Jim Lee
Daniel A. James
Barbara White
spellingShingle Joel Benesha
Jim Lee
Daniel A. James
Barbara White
Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
Proceedings
IoT
visualization
virtual technology
augmented technology
wearable technology
author_facet Joel Benesha
Jim Lee
Daniel A. James
Barbara White
author_sort Joel Benesha
title Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
title_short Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
title_full Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
title_fullStr Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
title_full_unstemmed Are You for Real? Engineering a Virtual Lab for the Sports Sciences Using Wearables and IoT
title_sort are you for real? engineering a virtual lab for the sports sciences using wearables and iot
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2020-06-01
description In tertiary education, disciplines such as sports science that require experimental components in their courses represent a significant challenge for online and distance education. This paper demonstrates the design and construction of an enriched experiment, together with the prototype software solution which can all be operated remotely using a web-based client. It presents research that investigated how to visualise data from internet of things (IoT) sensor devices (inertial sensor) used for tracking football sideline throw-ins. In this simple experiment, data was collected from one footballer, fitted with a single inertial sensor. A two-dimensional (2D) video, three-dimensional (3D) motion capture system and inertial sensor were all used to detect the release point of a sideline ball throw-in. In this project, inertial sensor data was used to create a 3D model using web graphical language and three.js.
topic IoT
visualization
virtual technology
augmented technology
wearable technology
url https://www.mdpi.com/2504-3900/49/1/110
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