Investigating archery stance performance based on geometric morphometrics
Geometric morphometries (GMM) is a method to quantify the size and shape of organisms with the application of multivariate statistics. In this project, the participants’ archery stance was examined by landmark-based GMM analysis. The goal of this study was to correlate demographic factors of part...
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| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2017
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| Online Access: | http://eprints.usm.my/62024/ http://eprints.usm.my/62024/1/ERLIZA%20BINTI%20ERWIN%20-e.pdf |
| Summary: | Geometric morphometries (GMM) is a method to quantify the size and shape of
organisms with the application of multivariate statistics. In this project, the participants’
archery stance was examined by landmark-based GMM analysis. The goal of this study
was to correlate demographic factors of participants’ archery stance in related to score.
The factors that had been explored in the study was age, height, weight, hand grip
strength as well as back and leg strength. Two cameras were utilised to record video of
20 participants' archery stance and take picture of the target board, separately. Still
screenshots images of participants' archery stance analysed using three available
softwares: tpsUtil, tpsDig2 and MorphoJ. The result of this project suggests that GMM
assessment of archery stance by hand grip strength as well as back and leg strength are
more reliable indicator compared to score, age, height and weight. However, the level of
significance is not really high at only 33.1% for hand grip strength and 23.1% for back
and leg strength. The results from Principle Component Analysis suggest that the total
variance of five axes: PC1, PC2, PC3, PC4 and PC5 summarises 84.7% of the observed
shape variation. Therefore, it can be concluded that GMM can be utilised in archery studies as to provide better understanding and information on archery. It is recommended for other scholars or researchers to conduct a study of sport science by
employing GMM as their method of analysis. |
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