BioKin based system for capturing golf swing data

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publication2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016)
PublisherIEEE
ISBN (Electronic)978-1-5090-6132-7
ISBN (Print)978-1-5090-6133-4
DOIs
Publication statusPublished - 12 Jun 2017
Externally publishedYes
Event8th IIEEE International Conference on Information and Automation for Sustainability - Galle, Sri Lanka
Duration: 16 Dec 201619 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

Conference8th IIEEE International Conference on Information and Automation for Sustainability
Abbreviated titleICIAfS 2016
CountrySri Lanka
CityGalle
Period16/12/1619/12/16
Internet address

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Keywords

  • data capturing
  • golf swing
  • greenside
  • impact

Cite this

Wivou, J., Pathirana, P. N., 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. https://doi.org/10.1109/ICIAFS.2016.7946560