The classification of skateboarding tricks via transfer learning pipelines

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The classification of skateboarding tricks via transfer learning pipelines

This study aims at classifying flat ground tricks, namely Ollie, Kickflip, Shove-it, Nollie and Frontside 180, through the identification of significant input image transformation on different transfer learning models with optimized Support Vector Machine (SVM) classifier. A total of six amateur ska...

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Bibliographic Details
Main Authors:	Muhammad Amirul, Abdullah, Muhammad Ar Rahim, Ibrahim, Muhammad Nur Aiman, Shapiee, Muhammad Aizzat, Zakaria, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Noor Azuan, Abu Osman, Anwar P.P., Abdul Majeed
Format:	Article
Language:	English
Published:	Peerj Inc. 2021
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/32628/ http://umpir.ump.edu.my/id/eprint/32628/1/JOURNAL%20%281%29%20-%20The%20classification%20of%20skateboarding%20tricks%20via%20transfer%20learning%20pipelines%20%281%29.pdf

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