Motion segmentation of the greenside bunker shot for training and coaching purposes

Josefa Wivou; Pubudu N. Pathirana; Ian Gibson; Lanka Udawatta

doi:10.1109/ICECTA.2017.8252008

Motion segmentation of the greenside bunker shot for training and coaching purposes

Josefa Wivou, Pubudu N. Pathirana, Ian Gibson, Lanka Udawatta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

6 Downloads (Pure)

Abstract

We describe a novel approach characterizing the difference between the swing of elite and amateur golfers when executing greenside bunker shot. Biokin-Mobi sensor setup designed to capture three dimensional patterns of human movements is employed to gather real time swing data. The captured velocity data will be used to investigate greenside bunker shots. Results show the effectiveness of the proposed setup in identifying the key parameters vital for performance enhancement in non-elite golfers in comparison to elite golfers.

Original language	English
Title of host publication	2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
Place of Publication	Piscataway
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5386-0872-2
ISBN (Print)	978-1-5386-0873-9
DOIs	https://doi.org/10.1109/ICECTA.2017.8252008
Publication status	Published - 8 Jan 2018
Externally published	Yes
Event	2017 International Conference on Electrical and Computing Technologies and Applications - American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Duration: 21 Nov 2017 → 23 Nov 2017

Conference

Conference	2017 International Conference on Electrical and Computing Technologies and Applications
Abbreviated title	ICECTA 2017
Country/Territory	United Arab Emirates
City	Ras Al Khaimah
Period	21/11/17 → 23/11/17

Keywords

Bunkers
Golf swing
Ssegmentation
Sensoring
n/a OA procedure

Access to Document

10.1109/ICECTA.2017.8252008

Cite this

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title = "Motion segmentation of the greenside bunker shot for training and coaching purposes",

abstract = "We describe a novel approach characterizing the difference between the swing of elite and amateur golfers when executing greenside bunker shot. Biokin-Mobi sensor setup designed to capture three dimensional patterns of human movements is employed to gather real time swing data. The captured velocity data will be used to investigate greenside bunker shots. Results show the effectiveness of the proposed setup in identifying the key parameters vital for performance enhancement in non-elite golfers in comparison to elite golfers.",

keywords = "Bunkers, Golf swing, Ssegmentation, Sensoring, n/a OA procedure",

author = "Josefa Wivou and Pathirana, \{Pubudu N.\} and Ian Gibson and Lanka Udawatta",

year = "2018",

month = jan,

day = "8",

doi = "10.1109/ICECTA.2017.8252008",

language = "English",

isbn = "978-1-5386-0873-9",

pages = "1--6",

booktitle = "2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)",

publisher = "IEEE",

address = "United States",

note = "2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 ; Conference date: 21-11-2017 Through 23-11-2017",

}

Wivou, J, Pathirana, PN, Gibson, I & Udawatta, L 2018, Motion segmentation of the greenside bunker shot for training and coaching purposes. in 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). IEEE, Piscataway, pp. 1-6, 2017 International Conference on Electrical and Computing Technologies and Applications, Ras Al Khaimah, United Arab Emirates, 21/11/17. https://doi.org/10.1109/ICECTA.2017.8252008

Motion segmentation of the greenside bunker shot for training and coaching purposes. / Wivou, Josefa; Pathirana, Pubudu N.; Gibson, Ian et al.
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). Piscataway: IEEE, 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Pathirana, Pubudu N.

AU - Gibson, Ian

AU - Udawatta, Lanka

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Y1 - 2018/1/8

N2 - We describe a novel approach characterizing the difference between the swing of elite and amateur golfers when executing greenside bunker shot. Biokin-Mobi sensor setup designed to capture three dimensional patterns of human movements is employed to gather real time swing data. The captured velocity data will be used to investigate greenside bunker shots. Results show the effectiveness of the proposed setup in identifying the key parameters vital for performance enhancement in non-elite golfers in comparison to elite golfers.

AB - We describe a novel approach characterizing the difference between the swing of elite and amateur golfers when executing greenside bunker shot. Biokin-Mobi sensor setup designed to capture three dimensional patterns of human movements is employed to gather real time swing data. The captured velocity data will be used to investigate greenside bunker shots. Results show the effectiveness of the proposed setup in identifying the key parameters vital for performance enhancement in non-elite golfers in comparison to elite golfers.

KW - Bunkers

KW - Golf swing

KW - Ssegmentation

KW - Sensoring

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85045971071

U2 - 10.1109/ICECTA.2017.8252008

DO - 10.1109/ICECTA.2017.8252008

M3 - Conference contribution

SN - 978-1-5386-0873-9

SP - 1

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BT - 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

PB - IEEE

CY - Piscataway

T2 - 2017 International Conference on Electrical and Computing Technologies and Applications

Y2 - 21 November 2017 through 23 November 2017

ER -

Motion segmentation of the greenside bunker shot for training and coaching purposes

Abstract

Conference

Keywords

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