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An evaluation of different input transformation for the classification of skateboarding tricks by means of transfer learning

This study aims to investigate the effect of different input images, namely raw data (RAW) and Continuous Wavelet Transform (CWT) towards the discriminating of street skateboarding tricks, i.e., Ollie, Kickflip, Shove-it, Nollie and Frontside 180 through a variety of transfer learning with optimised...

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Bibliographic Details
Main Authors: Muhammad Amirul, Abdullah, Muhammad Ar Rahim, Ibrahim, Muhammad Nur Aiman, Shapiee, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Noor Azuan, Abu Osman, Muhammad Aizzat, Zakaria, Anwar, P. P. Abdul Majeed
Format: Conference or Workshop Item
Language:English
Published: Springer 2023
Subjects:
GV Recreation Leisure
Q Science (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/39755/1/An%20evaluation%20of%20different%20input%20transformation%20for%20the%20classification%20of%20skateboarding%20.pdf
http://umpir.ump.edu.my/id/eprint/39755/
https://doi.org/10.1007/978-981-99-0297-2_22
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http://umpir.ump.edu.my/id/eprint/39755/1/An%20evaluation%20of%20different%20input%20transformation%20for%20the%20classification%20of%20skateboarding%20.pdf
http://umpir.ump.edu.my/id/eprint/39755/
https://doi.org/10.1007/978-981-99-0297-2_22

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