BioKin based system for capturing golf swing data

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

doi:10.1109/ICIAFS.2016.7946560

BioKin based system for capturing golf swing data

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

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

Abstract

This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.

Original language	English
Title of host publication	2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016)
Publisher	IEEE
ISBN (Electronic)	978-1-5090-6132-7
ISBN (Print)	978-1-5090-6133-4
DOIs	https://doi.org/10.1109/ICIAFS.2016.7946560
Publication status	Published - 12 Jun 2017
Externally published	Yes
Event	8th IIEEE International Conference on Information and Automation for Sustainability - Galle, Sri Lanka Duration: 16 Dec 2016 → 19 Dec 2016 Conference number: 8 http://www.ieee-ras.org/component/rseventspro/event/953-iciafs-2016-ieee-international-conference-on-information-and-automation-for-sustainability

Conference

Conference	8th IIEEE International Conference on Information and Automation for Sustainability
Abbreviated title	ICIAfS 2016
Country/Territory	Sri Lanka
City	Galle
Period	16/12/16 → 19/12/16
Internet address	http://www.ieee-ras.org/component/rseventspro/event/953-iciafs-2016-ieee-international-conference-on-information-and-automation-for-sustainability

Keywords

data capturing
golf swing
greenside
impact

Access to Document

10.1109/ICIAFS.2016.7946560

Cite this

@inproceedings{b01abbae81db4e8990f4af9cd144754a,

title = "BioKin based system for capturing golf swing data",

abstract = "This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.",

keywords = "data capturing, golf swing, greenside, impact",

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

year = "2017",

month = jun,

day = "12",

doi = "10.1109/ICIAFS.2016.7946560",

language = "English",

isbn = "978-1-5090-6133-4",

booktitle = "2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016)",

publisher = "IEEE",

address = "United States",

note = "8th IIEEE International Conference on Information and Automation for Sustainability, ICIAfS 2016 ; Conference date: 16-12-2016 Through 19-12-2016",

url = "http://www.ieee-ras.org/component/rseventspro/event/953-iciafs-2016-ieee-international-conference-on-information-and-automation-for-sustainability",

}

Wivou, J, Pathirana, PN, Gibson, I & Udawatta, L 2017, BioKin based system for capturing golf swing data. in 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016)., 7946560, IEEE, 8th IIEEE International Conference on Information and Automation for Sustainability, Galle, Sri Lanka, 16/12/16. https://doi.org/10.1109/ICIAFS.2016.7946560

TY - GEN

T1 - BioKin based system for capturing golf swing data

AU - Wivou, Josefa

AU - Pathirana, Pubudu N.

AU - Gibson, Ian

AU - Udawatta, Lanka

N1 - Conference code: 8

PY - 2017/6/12

Y1 - 2017/6/12

N2 - This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.

AB - This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.

KW - data capturing

KW - golf swing

KW - greenside

KW - impact

UR - http://www.scopus.com/inward/record.url?scp=85021992056&partnerID=8YFLogxK

U2 - 10.1109/ICIAFS.2016.7946560

DO - 10.1109/ICIAFS.2016.7946560

M3 - Conference contribution

SN - 978-1-5090-6133-4

BT - 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016)

PB - IEEE

T2 - 8th IIEEE International Conference on Information and Automation for Sustainability

Y2 - 16 December 2016 through 19 December 2016

ER -

BioKin based system for capturing golf swing data

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this