The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models

QR Code

The Classification of Skateboarding Tricks by Means of the Integration of Transfer Learning and Machine Learning Models

Generally, the assessment of skateboarding tricks executions is completed abstractly dependent on the judges’ understanding and experience. Hence, an objective and means for assessing skateboarding tricks, especially in the big competition are important. This research aims at classifying skateboardi...

Full description

Bibliographic Details
Main Authors:	Muhammad Nur Aiman, Shapiee, Ibrahim, Muhammad Ar Rahim, Mohd Azraai, Mohd Razman, Muhammad Amirul, Abdullah, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed
Format:	Conference or Workshop Item
Language:	English
Published:	Springer 2020
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/30736/ http://umpir.ump.edu.my/id/eprint/30736/1/978-981-15-6025-5_20

Similar Items

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)

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)

The classification of skateboarding tricks via transfer learning pipelines
by: Muhammad Amirul, Abdullah, et al.
Published: (2021)

The classification of skateboarding tricks : A transfer learning and machine learning approach
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2020)

The classification of skateboarding trick images by means of transfer learning and machine learning models
by: Muhammad Nur Aiman, Shapiee
Published: (2021)

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: A Frequency-Domain Evaluation
by: Ibrahim, Muhammad Ar Rahim, 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)

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)

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)

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)

Classification of skateboarding tricks by synthesizing transfer learning models and machine learning classifiers using different input signal transformations
by: Muhammad Amirul, Abdullah
Published: (2022)

The classification of skateboard trick manoeuvres through the integration of inertial measurement unit (imu) and machine learning
by: Muhammad Ar Rahim, Ibrahim
Published: (2022)

The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

The diagnosis of COVID-19 by means of transfer learning through X-ray images
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

The classification of heartbeat PCG signals via transfer learning
by: Almanifi, Omair Rashed Abdul Wareth, et al.
Published: (2021)

The classification of oral squamous cell carcinoma (OSCC) by means of transfer learning
by: Ahmad Ridhauddin, Abdul Rauf, et al.
Published: (2022)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

The classification of EEG-based winking signals: a transfer learning and random forest pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)

The classification of taekwondo kicks via machine learning: A feature selection investigation
by: Muhammad Syafi’i, Mass Duki, et al.
Published: (2021)

The diagnosis of diabetic retinopathy by means of transfer learning and fine-tuned dense layer pipeline
by: Abdo Salman, Abdulaziz, et al.
Published: (2020)

The classiﬁcation of impact signal of 6 DOF cobot by means of machine learning model
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

A cluster analysis and artificial neural network of identifying skateboarding talents based on bio-fitness indicators
by: Aina Munirah, Ab Rasid, et al.
Published: (2023)

Forecasting daily travel mode choice of kuantan travellers by means of machine learning models
by: Nur Fahriza, Mohd Ali, et al.
Published: (2022)

The animal classification: An evaluation of different transfer learning pipeline
by: Ee, Ken-ji, et al.
Published: (2021)

Vision-based Human Presence Detection by Means of Transfer Learning Approach
by: Tang, Jin Cheng, et al.
Published: (2022)

Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

Classification of skin cancer by means of transfer learning models
by: Lee, Ji Zhe, et al.
Published: (2021)

Screw absence classification on aluminum plate via features based transfer learning models
by: Lim, Weng Zhen, et al.
Published: (2023)

Traffic sign classification using transfer learning: An investigation of feature-combining model
by: Lim, Wee Sheng, et al.
Published: (2021)

The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
by: Salman, Abdulaziz Abdo Saif, et al.
Published: (2022)

The classification of impact signal of 6 DOF cobot by means of machine learning model
by: Kai, Gavin Lim Jiann, et al.
Published: (2022)

Deep learning based human presence detection
by: Venketaramana, Balachandran, et al.
Published: (2020)

Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis
by: Aina Munirah, Ab Rasid, et al.
Published: (2024)

The diagnosis of COVID-19 through X-ray images via transfer learning and fine-tuned dense layer on pipeline
by: Amiir Haamzah, Mohamed Ismail, et al.
Published: (2021)

The diagnosis of diabetic retinopathy by means of transfer learning with conventional machine learning pipeline
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)

Pallet-level classification using principal component analysis in ensemble learning model
by: Choong, Chun Sern, et al.
Published: (2020)