The Effect of Image Input Transformation from Inertial Measurement Unit Data on the Classification of Skateboarding Tricks

The Effect of Image Input Transformation from Inertial Measurement Unit Data on the Classification of Skateboarding Tricks

This study aims to improve the classification of 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. Six goofy skateboarders (23 years of age ± 5.0 years’ experience)...

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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, Musa, Rabiu Muazu, Anwar P. P., Abdul Majeed
Format: Conference or Workshop Item
Language:English
Published: Springer 2021
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/32659/1/The%20effect%20of%20image%20input%20transformation%20from%20inertial%20measurement%20unit%20data%20on%20the%20classification.pdf

Internet

http://umpir.ump.edu.my/id/eprint/32659/1/The%20effect%20of%20image%20input%20transformation%20from%20inertial%20measurement%20unit%20data%20on%20the%20classification.pdf

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