The Classification of Skateboarding Trick Manoeuvres Through the Integration of Image Processing Techniques and Machine Learning-Reference-Cited by-同舟云学术

The Classification of Skateboarding Trick Manoeuvres Through the Integration of Image Processing Techniques and Machine Learning

Published:2020 Issue: Volume: Page:347-356
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Shapiee Muhammad Nur Aiman,Ibrahim Muhammad Ar Rahim,Mohd Razman Mohd Azraai,Abdullah Muhammad Amirul,Musa Rabiu Muazu,Hassan Mohd Hasnun Arif,Abdul Majeed Anwar P. P.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-2317-5_29

Reference10 articles.

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2. Musa RM, Majeed APA, Taha Z, Chang SW, Nasir AFA, Abdullah MR (2019) A machine learning approach of predicting high potential archers by means of physical fitness indicators. PLOS ONE 14:e0209638

3. Taha Z, Razman MAM, Adnan FA, Majeed APA, Musa RM (2017) The development of the putt. it. in monitoring device and the establishment of its reliability: a solution for putting-in analysis in Golf. Mov Health Exerc 6

4. Taha Z, Wong MY, Yap HJ, Abdullah A, Yeo WK (2018) Evaluation of real time motion tracking accuracy of customised IMU sensor for application in a mobile badminton virtual reality training system. MoHE 7

5. Groh BH, Fleckenstein M, Kautz T, Eskofier BM (2017) Classification and visualization of skateboard tricks using wearable sensors. Pervasive Mobile Comput 40:42–55

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