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...
| Main Author: | Muhammad Ar Rahim, Ibrahim |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37630/ 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 |
Similar Items
The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning
by: Muhammad Amirul, Abdullah, et al.
Published: (2020)
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)
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)
by: Ibrahim, Muhammad Ar Rahim, et al.
Published: (2020)
The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
by: Muhammad Ar Rahim, Ibrahim, et al.
by: Muhammad Ar Rahim, Ibrahim, et al.
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)
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)
The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)
by: Muhammad Nur Aiman, Shapiee, 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)
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)
The classification of skateboarding tricks: A support vector machine hyperparameter evaluation optimisation
by: Muhammad Ar Rahim, Ibrahim, et al.
Published: (2021)
by: Muhammad Ar Rahim, Ibrahim, et al.
Published: (2021)
The classification of skateboarding tricks via transfer learning pipelines
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)
The classification of skateboarding tricks by means of the integration of transfer learning models and K-Nearest neighbors
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2022)
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2022)
The classification of skateboarding trick images by means of transfer learning and machine learning models
by: Muhammad Nur Aiman, Shapiee
Published: (2021)
by: Muhammad Nur Aiman, Shapiee
Published: (2021)
An evaluation of different input transformation for the classification of skateboarding tricks by means of transfer learning
by: Muhammad Amirul, Abdullah, et al.
Published: (2023)
by: Muhammad Amirul, Abdullah, et al.
Published: (2023)
The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features
by: Muhammad Amirul, Abdullah, et al.
Published: (2020)
by: Muhammad Amirul, Abdullah, et al.
Published: (2020)
Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations
by: Muhammad Amirul, Abdullah
Published: (2022)
by: Muhammad Amirul, Abdullah
Published: (2022)
Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial
by: Khaksar, Siavash, et al.
Published: (2021)
by: Khaksar, Siavash, et al.
Published: (2021)
Increased error observability of an inertial pedestrian navigation system by rotating IMU
by: Abdulrahim, Khairi, et al.
Published: (2014)
by: Abdulrahim, Khairi, et al.
Published: (2014)
Trucks, tricks, and technologies of government: analyzing the productive encounter between governance and resistance in skateboarding.
by: Lombard, Kara-Jane
Published: (2016)
by: Lombard, Kara-Jane
Published: (2016)
Reliability testing of inertial measurement units in the analysis of physiological variables in archery
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
Human Gait Analysis Using Inertial Measurement Unit for Rehabilitation
by: Han, Yi Chiew
Published: (2019)
by: Han, Yi Chiew
Published: (2019)
Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed
by: Becker, Eliza, et al.
Published: (2025)
by: Becker, Eliza, et al.
Published: (2025)
Manoeuvring prediction of offshore supply vessel
by: Che Wan Othman, Che Wan Mohd. Noor
Published: (2009)
by: Che Wan Othman, Che Wan Mohd. Noor
Published: (2009)
Hydrodynamic coefficients of manoeuvring for small vessels
by: Loh, Sheau Ping
Published: (2004)
by: Loh, Sheau Ping
Published: (2004)
The clinical application of inertial measurement unit in identification of foot drop symptoms
by: Bidabadi, S., et al.
Published: (2018)
by: Bidabadi, S., et al.
Published: (2018)
The application of inertial measurements unit for the clinical evaluation and assessment of gait events
by: Sharif Bidabadi, S., et al.
Published: (2017)
by: Sharif Bidabadi, S., et al.
Published: (2017)
Bluetooth Embedded Inertial Measurement Unit for Real-Time Data Collection
by: Abhayasinghe, Nimsiri, et al.
Published: (2013)
by: Abhayasinghe, Nimsiri, et al.
Published: (2013)
Manoeuvring control for pusher barge in inland waterway
by: Mat Saad, Khairul Anuar
Published: (2007)
by: Mat Saad, Khairul Anuar
Published: (2007)
Effects of coastal development on ship manoeuvring and navigation
by: Mohd. Noor, Hamzah, et al.
Published: (2006)
by: Mohd. Noor, Hamzah, et al.
Published: (2006)
The Application of Inertial Measurement Units and Wearable Sensors to Measure Selected Physiological Indicators in Archery
by: Zahari, Taha, et al.
Published: (2017)
by: Zahari, Taha, et al.
Published: (2017)
Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces
by: Sikandar, Tasriva, et al.
Published: (2023)
by: Sikandar, Tasriva, et al.
Published: (2023)
Rotational natural frequency indentification of a rotor-shaft system by using inertial measurement unit / Mazlyne Mat Akat
by: Mazlyne , Mat Akat
Published: (2018)
by: Mazlyne , Mat Akat
Published: (2018)
Data filtering of 5-axis inertial measurement unit using kalman filter
by: Nur Syazwani, Samsudin
Published: (2013)
by: Nur Syazwani, Samsudin
Published: (2013)
Embodiment in skateboarding videogames
by: Martin, Paul
Published: (2013)
by: Martin, Paul
Published: (2013)
Skateboarders vs Minimalism
by: Gladwell, Shaun
Published: (2016)
by: Gladwell, Shaun
Published: (2016)
Estimation of ship manoeuvring characteristics in the conceptual design stage
by: Mainal, Mohd. Ramzan, et al.
Published: (1996)
by: Mainal, Mohd. Ramzan, et al.
Published: (1996)
Minimum number of inertial measurement units needed to identify signiicant variations in walk patterns of overweight individuals walking on irregular surfaces
by: Sikandar, Tasriva, et al.
Published: (2023)
by: Sikandar, Tasriva, et al.
Published: (2023)
Rotating a mens inertial measurement unit for a foot-mounted pedestrian navigation
by: Abdulrahim, Khairi, et al.
Published: (2014)
by: Abdulrahim, Khairi, et al.
Published: (2014)
A solar charging system for a portable electric skateboard
by: Nur Fatin Syahira, Rozak
Published: (2017)
by: Nur Fatin Syahira, Rozak
Published: (2017)
Glowing with health at IMU
Published: (2011)
Published: (2011)
IMU rated as 'excellent'
Published: (2011)
Published: (2011)
Online sequential extreme learning machine algorithm based human activity recognition using inertial data
by: Al Jeroudi, Yazan, et al.
Published: (2015)
by: Al Jeroudi, Yazan, et al.
Published: (2015)
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 trick manoeuvres: A K-nearest neighbour approach
by: Muhammad Ar Rahim, Ibrahim, et al. -
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)