ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
In golf, it is crucial that unintended shots, such as slices, be minimized. However, it hasproven rather difficult to improve golf performance via investigations of the causes of slicing, as thisparticular phenomenon is induced by a cooperative effect by each segment of the body, rather than bya single postural anomaly. Thus, the objective of this study was to isolate and characterize the factorscausing slicing, and to present possibilities for the improvement of golf performance via theminimization of the number of slices executed, using a three dimensional motion capture system,combined with multiple regression analysis, artificial neural network, and fuzzy logic techniques.This study obtained some interesting results, such as the following: (1) We isolated 9 slice-inducingfactors, using a stepwise method. (2) Our artificial neural network (ANN) accurately separated 'slice'from 'normal' shots (classification rate: 100%). (3)We could present the possibility of reducing thenumber of slice using the fuzzy logic. We expect that our data might be eventually used to improvegolf performance
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/51/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.321-323.1094.pdf
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