Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game

Ways to improve sport performance become exceptional contemporary interest. Nowadays, many studies use human brain as an input signal include eyes blinking, attention and meditation to control the exchange process. Brain–Computer Interface (BCI) requires generating control signals for external devic...

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Main Authors: Yusof, M.M.M, Salleh, S.M., Ainul, H.M.Y, Siswanto, W.A., Mahmud, W.M.A.W
Format: Article
Published: Science Publishing Corporation 2018
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Online Access:http://eprints.uthm.edu.my/3628/
https://doi.org/10.14419/ijet.v7i4.30.22370
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spelling my.uthm.eprints.36282021-11-21T03:55:26Z http://eprints.uthm.edu.my/3628/ Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game Yusof, M.M.M Salleh, S.M. Ainul, H.M.Y Siswanto, W.A. Mahmud, W.M.A.W Q Science (General) QP Physiology T Technology (General) QP351-495 Neurophysiology and neuropsychology Ways to improve sport performance become exceptional contemporary interest. Nowadays, many studies use human brain as an input signal include eyes blinking, attention and meditation to control the exchange process. Brain–Computer Interface (BCI) requires generating control signals for external device by analysing the internal brain signal. The objective is to identify the signal of brainwave which gives effect to performance of golfer. The analysis involved the meditation (α) and attention (β) state of different golf players. In this project, the brainwave of golfer’s will be analyzed based on the movement before club strike the ball. EEG signal used to find out the features by using Fast Fourier Transform (FFT). The analysis included three categories of player include beginner, intermediate and professional. Two types of game have been considered which are Par Tee Ireland and Driving Range. The project interfaces MATLAB software with an EEG headset. The data has interpreted in time and frequency domain graph that show different level in an attention (β) state for both games. Brainwave signals indicated players’ performance and lead to better performance. This data benefits increasing the performance of golfer to become the professional golfer by using electroencephalography (EEG) headset in future study. Science Publishing Corporation 2018 Article PeerReviewed Yusof, M.M.M and Salleh, S.M. and Ainul, H.M.Y and Siswanto, W.A. and Mahmud, W.M.A.W (2018) Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game. International Journal of Engineering & Technology, 7 (4.3). pp. 469-472. ISSN 2227-524X https://doi.org/10.14419/ijet.v7i4.30.22370
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
topic Q Science (General)
QP Physiology
T Technology (General)
QP351-495 Neurophysiology and neuropsychology
spellingShingle Q Science (General)
QP Physiology
T Technology (General)
QP351-495 Neurophysiology and neuropsychology
Yusof, M.M.M
Salleh, S.M.
Ainul, H.M.Y
Siswanto, W.A.
Mahmud, W.M.A.W
Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
description Ways to improve sport performance become exceptional contemporary interest. Nowadays, many studies use human brain as an input signal include eyes blinking, attention and meditation to control the exchange process. Brain–Computer Interface (BCI) requires generating control signals for external device by analysing the internal brain signal. The objective is to identify the signal of brainwave which gives effect to performance of golfer. The analysis involved the meditation (α) and attention (β) state of different golf players. In this project, the brainwave of golfer’s will be analyzed based on the movement before club strike the ball. EEG signal used to find out the features by using Fast Fourier Transform (FFT). The analysis included three categories of player include beginner, intermediate and professional. Two types of game have been considered which are Par Tee Ireland and Driving Range. The project interfaces MATLAB software with an EEG headset. The data has interpreted in time and frequency domain graph that show different level in an attention (β) state for both games. Brainwave signals indicated players’ performance and lead to better performance. This data benefits increasing the performance of golfer to become the professional golfer by using electroencephalography (EEG) headset in future study.
format Article
author Yusof, M.M.M
Salleh, S.M.
Ainul, H.M.Y
Siswanto, W.A.
Mahmud, W.M.A.W
author_facet Yusof, M.M.M
Salleh, S.M.
Ainul, H.M.Y
Siswanto, W.A.
Mahmud, W.M.A.W
author_sort Yusof, M.M.M
title Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
title_short Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
title_full Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
title_fullStr Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
title_full_unstemmed Analysis of Golfer‘s brainwave signal during par tee Ireland and driving range game
title_sort analysis of golfer‘s brainwave signal during par tee ireland and driving range game
publisher Science Publishing Corporation
publishDate 2018
url http://eprints.uthm.edu.my/3628/
https://doi.org/10.14419/ijet.v7i4.30.22370
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score 13.214268