The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models

• Main Authors: Muhammad Nur Aiman, Shapiee, Ibrahim, Muhammad Ar Rahim, Mohd Azraai, Mohd Razman, Muhammad Amirul, Abdullah, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed
• Format: Conference or Workshop Item
• Language: English
• Published: Springer 2020
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/30736/1/978-981-15-6025-5_20; http://umpir.ump.edu.my/id/eprint/30736/; https://doi.org/10.1007/978-981-15-6025-5_20; https://doi.org/10.1007/978-981-15-6025-5_20
• Institution: Universiti Malaysia Pahang

Generally, the assessment of skateboarding tricks executions is completed abstractly dependent on the judges’ understanding and experience. Hence, an objective and means for assessing skateboarding tricks, especially in the big competition are important. This research aims at classifying skateboardi...