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 proceedingConference contributionAcademicpeer-review

    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 languageEnglish
    Title of host publication2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
    Place of PublicationPiscataway
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Electronic)978-1-5386-0872-2
    ISBN (Print)978-1-5386-0873-9
    DOIs
    Publication statusPublished - 8 Jan 2018
    Event2017 International Conference on Electrical and Computing Technologies and Applications - American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates
    Duration: 21 Nov 201723 Nov 2017

    Conference

    Conference2017 International Conference on Electrical and Computing Technologies and Applications
    Abbreviated titleICECTA 2017
    CountryUnited Arab Emirates
    CityRas Al Khaimah
    Period21/11/1723/11/17

    Fingerprint

    shot
    education
    Sensors
    augmentation
    sensors

    Keywords

    • bunkers
    • golf swing
    • segmentation
    • sensoring

    Cite this

    Wivou, J., Pathirana, P. N., 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) (pp. 1-6). Piscataway: IEEE. https://doi.org/10.1109/ICECTA.2017.8252008
    Wivou, Josefa ; Pathirana, Pubudu N. ; Gibson, Ian ; Udawatta, Lanka. / Motion segmentation of the greenside bunker shot for training and coaching purposes. 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). Piscataway : IEEE, 2018. pp. 1-6
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    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.",
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    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; Udawatta, Lanka.

    2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). Piscataway : IEEE, 2018. p. 1-6.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Wivou J, Pathirana PN, Gibson I, Udawatta L. Motion segmentation of the greenside bunker shot for training and coaching purposes. In 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). Piscataway: IEEE. 2018. p. 1-6 https://doi.org/10.1109/ICECTA.2017.8252008