Development of Skill Performance Test for Talent Identification in Amateur Skateboarding Sport

Aina Munirah Ab Rasid, Noor Aishah Kamarudin, Muhammad Amirul Abdullah, Muhammad Ar Rahim Ibrahim, Muhammad Nur Aiman Bin Shapiee, Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah, Rabiu Muazu Musa*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)


Talent identification is a vital process of mapping out athletes with the potentiality to excel in the future sporting career. To ensure success in this process, appropriate skill test in tandem to the capability of the athlete level is required to avoid dropout and demotivation of the athletes. A variety of skateboarding tricks are available for testing and identification of potential skateboarders, however, many of such skills are hard to deliver properly particularly for amateurs. The present investigation is aimed at identifying the suitable skateboarding tricks that could be used for mapping out talent in amateur skateboarding. The most common skateboarding tricks that consisted of Ollie, Kickflip, Shove-it, Nollie and Frontside 180 were identified while an experienced amateur skateboarder executed each skill five times. A customized ORY skateboard integrated with IMU sensors were used to stream the data in real-time during the performance of the tricks. The average datasets from the acceleration and angular velocity of the x, y and z-axis were obtained and a Principal Component Analysis (PCA) was used to study the dimension of the related data tricks as well as to identify the important trick manoeuvres that could be suitable for the level of the athlete’s performance. The results revealed that the dataset contained two dimensions based on the Eigenvalue analysis of the PCA whilst Ollie and Nollie tricks were identified to be the most important tricks due to their higher factor loading (>0.80). It is therefore postulated that the Ollie and Nollie tricks could be used as a skill related test for the identification of talented amateur skateboarders. This may be invaluable to coaches and talent scouters in saving time, effort as well as manpower during the talent identification program in this sport.

Original languageEnglish
Title of host publicationAdvances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020
EditorsJessnor Arif Mat Jizat, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Ahmad Fakhri Ab. Nasir, Mohamad Shaiful Abdul Karim, Abdul Aziz Jaafar, Lim Wei Hong, Anwar P. Abdul Majeed, Pengcheng Liu, Hyun Myung, Han-Lim Choi, Gian-Antonio Susto
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages6
ISBN (Print)9783030709167
Publication statusPublished - 2021
Externally publishedYes
Event2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020 - Pekan, Malaysia
Duration: 22 Dec 202022 Dec 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1350 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


Conference2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020


  • Skateboard
  • Skill test
  • Talent identification
  • Trick manoeuvres


Dive into the research topics of 'Development of Skill Performance Test for Talent Identification in Amateur Skateboarding Sport'. Together they form a unique fingerprint.

Cite this