Improving Golf Instruction with the iClub Motion Capture Technology

Mehta Arun M and Mehta Cyrus R
Additional contact information
Mehta Arun M: iClub Inc.
Mehta Cyrus R: Cytel Inc.

Journal of Quantitative Analysis in Sports, 2008, vol. 4, issue 2, 10

Abstract: A new 3D motion capture technology is changing Golf instruction and research, bringing us closer than ever to understanding the complex yet coordinated motions involved in a successful Golf swing. This paper highlights a study undertaken by the Golf Advantage School at Pinehurst using this new technology. Two separate drills were examined for how effective they were at increasing the total Hip Rotation in the backswing of normal Golfers. These two drills were the ``Feet Together" drill and the ``Right Foot Back" drill. Using equipment provided by iClub(TM) Inc. and performing the statistical analysis with StatXact® 8 software, we show that the ``Feet Together" drill increased Hip Rotation by 2.5 degrees (with a 95% confidence interval from -0.5 to 5.33 degrees), and that the ``Right Foot Back" drill increased Hip Rotation by 4.2 degrees (with a 95% confidence interval from 0.84 to 8.33 degrees). A pooled analysis of the data from both drills, stratified by type of drill, yielded a statistically significant effect (p = 0.00295, 2-sided). The results also suggest that the ``Right Foot Back" drill, which was initially developed as an easier alternative to the ``Feet Together" drill, may actually also be more effective . These scientifically supported insights are indicative of the power of the new motion capture technology to generate previously unattainable data for improving athletic performance.

Keywords: iClub; motion capture technology; golf; hip rotation; Wilcoxon test; StatXact; Motus (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1109 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:4:y:2008:i:2:n:12

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.2202/1559-0410.1109

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().