The classification of skateboard trick manoeuvres through the integration of inertial measurement unit (imu) and machine learning
The growing interest in skateboarding as a competitive sport requires new motion analysis approaches and innovative ways to portray athletes' performance as previous classification of tricks techniques was often deemed inadequate in providing accurate evaluation during competition. Therefore, a...
Saved in:
Main Author: | Muhammad Ar Rahim, Ibrahim |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/37630/1/ir.The%20classification%20of%20skateboard%20trick%20manoeuvres%20through%20the%20integration%20of%20inertial%20measurement%20unit%20%28imu%29%20and%20machine%20learning.pdf http://umpir.ump.edu.my/id/eprint/37630/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning
by: Muhammad Amirul, Abdullah, et al.
Published: (2020) -
The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2019) -
The classification of skateboarding Trick Manoeuvres: A Frequency-Domain Evaluation
by: Ibrahim, Muhammad Ar Rahim, et al.
Published: (2020) -
The classification of skateboarding tricks : A transfer learning and machine learning approach
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020) -
The Effect of Image Input Transformation from Inertial Measurement Unit Data on the Classification of Skateboarding Tricks
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)