Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist

In this study, a wearable sensing device (WSD) based on microelectromechanical systems motion sensors (an inertial measurement unit consisting of sensors with three axes of acceleration and three axes of angular rate) was built to assess the skill levels of volleyball spikers. The developed WSD is i...

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Main Authors: Yufan Wang, Yuliang Zhao, Rosa H. M. Chan, Wen J. Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8254340/
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spelling doaj-b3739076d52140b28e67db753836d49b2021-03-29T21:00:20ZengIEEEIEEE Access2169-35362018-01-016137581376510.1109/ACCESS.2018.27922208254340Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at WristYufan Wang0https://orcid.org/0000-0001-6782-1047Yuliang Zhao1Rosa H. M. Chan2Wen J. Li3Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, ChinaDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, ChinaDepartment of Electronic Engineering, City University of Hong Kong, Hong Kong, ChinaDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, ChinaIn this study, a wearable sensing device (WSD) based on microelectromechanical systems motion sensors (an inertial measurement unit consisting of sensors with three axes of acceleration and three axes of angular rate) was built to assess the skill levels of volleyball spikers. The developed WSD is inexpensive and requires much less computational power than conventional videography analysis in monitoring motions of volleyball players during spikes. This paper presents the hardware and software design and the data processing algorithms used in the system. Six right-handed male subjects wore the WSD on their wrists and performed 120 spiking trials in a volleyball court. Skill of the volleyball spikers was accessed by classifying them into three different levels from the recorded data with support vector machine. The results demonstrate that this system is capable of assessing the difference between elite, sub-elite, and amateur volleyball players with an average accuracy of 94%. The proposed method can be extended to analyze the skill levels of players in other sports, where wrist actions are important (e.g., basketball, badminton, and baseball).https://ieeexplore.ieee.org/document/8254340/Wearable devicesinertial measurement unitsports analysisvolleyball spikingmotion assessment
collection DOAJ
language English
format Article
sources DOAJ
author Yufan Wang
Yuliang Zhao
Rosa H. M. Chan
Wen J. Li
spellingShingle Yufan Wang
Yuliang Zhao
Rosa H. M. Chan
Wen J. Li
Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
IEEE Access
Wearable devices
inertial measurement unit
sports analysis
volleyball spiking
motion assessment
author_facet Yufan Wang
Yuliang Zhao
Rosa H. M. Chan
Wen J. Li
author_sort Yufan Wang
title Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
title_short Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
title_full Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
title_fullStr Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
title_full_unstemmed Volleyball Skill Assessment Using a Single Wearable Micro Inertial Measurement Unit at Wrist
title_sort volleyball skill assessment using a single wearable micro inertial measurement unit at wrist
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description In this study, a wearable sensing device (WSD) based on microelectromechanical systems motion sensors (an inertial measurement unit consisting of sensors with three axes of acceleration and three axes of angular rate) was built to assess the skill levels of volleyball spikers. The developed WSD is inexpensive and requires much less computational power than conventional videography analysis in monitoring motions of volleyball players during spikes. This paper presents the hardware and software design and the data processing algorithms used in the system. Six right-handed male subjects wore the WSD on their wrists and performed 120 spiking trials in a volleyball court. Skill of the volleyball spikers was accessed by classifying them into three different levels from the recorded data with support vector machine. The results demonstrate that this system is capable of assessing the difference between elite, sub-elite, and amateur volleyball players with an average accuracy of 94%. The proposed method can be extended to analyze the skill levels of players in other sports, where wrist actions are important (e.g., basketball, badminton, and baseball).
topic Wearable devices
inertial measurement unit
sports analysis
volleyball spiking
motion assessment
url https://ieeexplore.ieee.org/document/8254340/
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AT yuliangzhao volleyballskillassessmentusingasinglewearablemicroinertialmeasurementunitatwrist
AT rosahmchan volleyballskillassessmentusingasinglewearablemicroinertialmeasurementunitatwrist
AT wenjli volleyballskillassessmentusingasinglewearablemicroinertialmeasurementunitatwrist
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