Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations

Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations

Skateboarding has made its Olympic debut at the delayed Tokyo 2020 Olympic Games. Conventionally, in the competition scene, the scoring of the game is done manually and subjectively by the judges through the observation of the trick executions. Nevertheless, the complexity of the manoeuvres executed...

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主要作者: Muhammad Amirul, Abdullah
格式: Thesis
語言:English
出版: 2022
主題:
TJ Mechanical engineering and machinery
TS Manufactures
在線閱讀:http://umpir.ump.edu.my/id/eprint/35919/1/06.Classification%20of%20skateboarding%20tricks%20by%20synthesizing%20transfer%20learning%20models%20and%20machine%20learning%20classifiers.pdf
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