The classification of skateboarding tricks via transfer learning pipelines

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. 2021-08-01
Series:PeerJ Computer Science
Subjects:
Classification
Support vector machine
Skateboarding
Machine learning
Transfer learning
Online Access:https://peerj.com/articles/cs-680.pdf

Internet

https://peerj.com/articles/cs-680.pdf

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