TY - GEN
T1 - Development of Skill Performance Test for Talent Identification in Amateur Skateboarding Sport
AU - Rasid, Aina Munirah Ab
AU - Kamarudin, Noor Aishah
AU - Abdullah, Muhammad Amirul
AU - Ibrahim, Muhammad Ar Rahim
AU - Shapiee, Muhammad Nur Aiman Bin
AU - Razman, Mohd Azraai Mohd
AU - P. P. Abdul Majeed, Anwar
AU - Abdullah, Mohamad Razali
AU - Musa, Rabiu Muazu
N1 - Funding Information:
Acknowledgement. The authors would like to acknowledge the Ministry of Education Malaysia for supporting this study under the Fundamental Research Grant Scheme (FRGS/1 /2020/TK0/UMT/03/2).
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Skateboard
KW - Skill test
KW - Talent identification
KW - Trick manoeuvres
UR - http://www.scopus.com/inward/record.url?scp=85104416442&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-70917-4_37
DO - 10.1007/978-3-030-70917-4_37
M3 - Conference Proceeding
AN - SCOPUS:85104416442
SN - 9783030709167
T3 - Advances in Intelligent Systems and Computing
SP - 385
EP - 390
BT - Advances in Robotics, Automation and Data Analytics - Selected Papers from iCITES 2020
A2 - Mat Jizat, Jessnor Arif
A2 - Khairuddin, Ismail Mohd
A2 - Mohd Razman, Mohd Azraai
A2 - Ab. Nasir, Ahmad Fakhri
A2 - Abdul Karim, Mohamad Shaiful
A2 - Jaafar, Abdul Aziz
A2 - Hong, Lim Wei
A2 - Abdul Majeed, Anwar P.
A2 - Liu, Pengcheng
A2 - Myung, Hyun
A2 - Choi, Han-Lim
A2 - Susto, Gian-Antonio
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Innovative Technology, Engineering and Sciences, iCITES 2020
Y2 - 22 December 2020 through 22 December 2020
ER -