The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning

• Main Authors: Muhammad Amirul, Abdullah, Muhammad Ar Rahim, Ibrahim, Muhammad Nur Aiman, Shapiee, Anwar P. P., Abdul Majeed, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Muhammad Aizzat, Zakaria
• Format: Book Chapter
• Language: English
• Published: Springer Singapore 2020
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/32626/1/CONFERENCE%20%282%29%20-%20The%20classification%20of%20skateboarding%20tricks%20by%20means%20of%20support%20vector%20machine%20an%20evaluation%20of%20significant%20time-domain%20features.pdf; http://umpir.ump.edu.my/id/eprint/32626/; https://doi.org/10.1007/978-981-15-6025-5_12
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

The evaluation of tricks executions in skateboarding is commonly carried out subjectively. The panels of judges rely on their prior experience in classifying the effectiveness of tricks performance during skateboarding competitions. This technique of classifying tricks often fell short in providing...