The application of support vector machine in classifying potential archers using bio-mechanical indicators

• Main Authors: Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Amirul, Abdullah, M. H. A., Hassan
• Other Authors: Mohd Hasnun Ariff, Hassan
• Format: Book Section
• Language: English; English
• Published: Springer Singapore 2018
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/21162/7/The%20Application%20of%20Support%20Vector%20Machine%20in-fkp-2018-1.pdf; http://umpir.ump.edu.my/id/eprint/21162/13/book47%20The%20application%20of%20support%20vector%20machine%20in%20classifying%20potential%20archers%20using%20bio-mechanical%20indicators.pdf; http://umpir.ump.edu.my/id/eprint/21162/; https://doi.org/10.1007/978-981-10-8788-2_34

This study classifies potential archers from a set of bio-mechanical indicators trained via different Support Vector Machine (SVM) models. 50 youth archers drawn from a number of archery programmes completed a one end archery shooting score test. Bio-mechanical evaluation of postural sway, bow movem...