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Anthropometry Correlation Towards Archery Performance

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Machine Learning in Sports

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

This chapter assesses the association of a selection of anthropometry parameters in identifying HPA and LPA. It was shown that the selected parameters, i.e. abdominal circumference, arm span, calf circumference, height, hip circumference, thigh circumference and weight, are essential in the identification of potential of the archers. Furthermore, it was demonstrated that the linear SVM variation model provided the best prediction capability amongst the other evaluated SVM models.

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Correspondence to Rabiu Muazu Musa .

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© 2019 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Muazu Musa, R., Taha, Z., P. P. Abdul Majeed, A., Abdullah, M.R. (2019). Anthropometry Correlation Towards Archery Performance. In: Machine Learning in Sports. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-2592-2_4

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