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Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example
Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426840/ https://www.ncbi.nlm.nih.gov/pubmed/28430147 http://dx.doi.org/10.3390/s17040916 |
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author | Umek, Anton Zhang, Yuan Tomažič, Sašo Kos, Anton |
author_facet | Umek, Anton Zhang, Yuan Tomažič, Sašo Kos, Anton |
author_sort | Umek, Anton |
collection | PubMed |
description | Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful operation of sport equipment. When integrated into the sport equipment, ideal sensors are unobstructive, and do not change the functionality of the equipment. The article focuses on experiments for identification and selection of sensors that are suitable for the integration into a golf club with the final goal of their use in real time biofeedback applications. We tested two orthogonally affixed strain gage (SG) sensors, a 3-axis accelerometer, and a 3-axis gyroscope. The strain gage sensors are calibrated and validated in the laboratory environment by a highly accurate Qualisys Track Manager (QTM) optical tracking system. Field test results show that different types of golf swing and improper movement in early phases of golf swing can be detected with strain gage sensors attached to the shaft of the golf club. Thus they are suitable for biofeedback applications to help golfers to learn repetitive golf swings. It is suggested that the use of strain gage sensors can improve the golf swing technical error detection accuracy and that strain gage sensors alone are enough for basic golf swing analysis. Our final goal is to be able to acquire and analyze as many parameters of a smart golf club in real time during the entire duration of the swing. This would give us the ability to design mobile and cloud biofeedback applications with terminal or concurrent feedback that will enable us to speed-up motor skill learning in golf. |
format | Online Article Text |
id | pubmed-5426840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54268402017-05-12 Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example Umek, Anton Zhang, Yuan Tomažič, Sašo Kos, Anton Sensors (Basel) Article Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful operation of sport equipment. When integrated into the sport equipment, ideal sensors are unobstructive, and do not change the functionality of the equipment. The article focuses on experiments for identification and selection of sensors that are suitable for the integration into a golf club with the final goal of their use in real time biofeedback applications. We tested two orthogonally affixed strain gage (SG) sensors, a 3-axis accelerometer, and a 3-axis gyroscope. The strain gage sensors are calibrated and validated in the laboratory environment by a highly accurate Qualisys Track Manager (QTM) optical tracking system. Field test results show that different types of golf swing and improper movement in early phases of golf swing can be detected with strain gage sensors attached to the shaft of the golf club. Thus they are suitable for biofeedback applications to help golfers to learn repetitive golf swings. It is suggested that the use of strain gage sensors can improve the golf swing technical error detection accuracy and that strain gage sensors alone are enough for basic golf swing analysis. Our final goal is to be able to acquire and analyze as many parameters of a smart golf club in real time during the entire duration of the swing. This would give us the ability to design mobile and cloud biofeedback applications with terminal or concurrent feedback that will enable us to speed-up motor skill learning in golf. MDPI 2017-04-21 /pmc/articles/PMC5426840/ /pubmed/28430147 http://dx.doi.org/10.3390/s17040916 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Umek, Anton Zhang, Yuan Tomažič, Sašo Kos, Anton Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title | Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title_full | Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title_fullStr | Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title_full_unstemmed | Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title_short | Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example |
title_sort | suitability of strain gage sensors for integration into smart sport equipment: a golf club example |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5426840/ https://www.ncbi.nlm.nih.gov/pubmed/28430147 http://dx.doi.org/10.3390/s17040916 |
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