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Suitability of strain gage sensors for integration into smart sport equipment : a golf club example
ID Umek, Anton (Author), ID Zhang, Yuan (Author), ID Tomažič, Sašo (Author), ID Kos, Anton (Author)

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Abstract
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.

Language:English
Keywords:smart sport equipment, sensor selection, strain gage sensors, gyroscope, accelerometer, golf swing analysis
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2017
Number of pages:18 str.
Numbering:Vol. 17, iss. 4, art. 916
PID:20.500.12556/RUL-131095 This link opens in a new window
UDC:621.39
ISSN on article:1424-8220
DOI:10.3390/s17040916 This link opens in a new window
COBISS.SI-ID:11726676 This link opens in a new window
Publication date in RUL:22.09.2021
Views:993
Downloads:135
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:21.04.2017

Secondary language

Language:Slovenian
Keywords:pametna športna oprema, izbira senzorjev, strain gage senzorji, žiroskop, pospeškometer, analiza golfskega zamaha

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P2-0246
Name:Algoritmi in optimizacijski postopki v telekomunikacijah

Funder:ARRS - Slovenian Research Agency
Project number:L2-5481
Name:Uporaba brezžičnih senzorskih naprav za spremljanje gibanja in biološko povratno vezavo

Funder:Other - Other funder or multiple funders
Funding programme:National Natural Science Foundation of China
Project number:61572231

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