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  • Feature extraction of performance variables in elite half-pipe snowboarding using body mounted inertial sensors

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    55431_1.pdf (820.8Kb)
    Author(s)
    Harding, Jason
    Small, James
    James, Daniel
    Griffith University Author(s)
    James, Daniel A.
    Harding, Jason W.
    Small, James W.
    Year published
    2008
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    Abstract
    Recent analysis of elite-level half-pipe snowboard competition has revealed a number of sport specific key performance variables (KPV's) that correlate well to score. Information on these variables is difficult to acquire and analyse, relying on collection and labour intensive manual post processing of video data. This paper presents the use of inertial sensors as a user-friendly alternative and subsequently implements signal processing routines to ultimately provide automated, sport specific feedback to coaches and athletes. The author has recently shown that the key performance variables (KPV's) of total air-time (TAT) and ...
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    Recent analysis of elite-level half-pipe snowboard competition has revealed a number of sport specific key performance variables (KPV's) that correlate well to score. Information on these variables is difficult to acquire and analyse, relying on collection and labour intensive manual post processing of video data. This paper presents the use of inertial sensors as a user-friendly alternative and subsequently implements signal processing routines to ultimately provide automated, sport specific feedback to coaches and athletes. The author has recently shown that the key performance variables (KPV's) of total air-time (TAT) and average degree of rotation (ADR) achieved during elite half-pipe snowboarding competition show strong correlation with an athlete's subjectively judged score. Utilising Micro-Electrochemical System (MEMS) sensors (tri-axial accelerometers) this paper demonstrates that air-time (AT) achieved during half-pipe snowboarding can be detected and calculated accurately using basic signal processing techniques. Characterisation of the variations in aerial acrobatic manoeuvres and the associated calculation of exact degree of rotation (DR) achieved is a likely extension of this research. The technique developed used a two-pass method to detect locations of half-pipe snowboard runs using power density in the frequency domain and subsequently utilises a threshold based search algorithm in the time domain to calculate air-times associated with individual aerial acrobatic manoeuvres. This technique correctly identified the air-times of 100 percent of aerial acrobatic manoeuvres within each half-pipe snowboarding run (n = 92 aerial acrobatic manoeuvres from 4 subjects) and displayed a very strong correlation with a video based reference standard for air-time calculation (r = 0.78 ᠰ.08; p value < 0.0001; SEE = 0.08 ׯ砱.16; mean bias = -0.03 ᠰ.02s) (value ᠯr ׯ砹5% CL).
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    Conference Title
    BioMEMS and Nanotechnology III
    Publisher URI
    http://spie.org/
    DOI
    https://doi.org/10.1117/12.759259
    Copyright Statement
    © 2008 Society of Photo-Optical Instrumentation Engineers. This paper was published in SPIE volume 6799: Modelling and THZ Technology and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
    Subject
    Biomedical Engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/24604
    Collection
    • Conference outputs

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