The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach

QR Code

The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach

The evaluation of skateboarding tricks is commonly carried out subjectively through the prior experience of the panel of judges during skateboarding competitions. Hence, this technique evaluation is often impartial to a certain degree. This study aims at classifying flat ground tricks namely Ollie,...

Full description

Bibliographic Details
Main Authors:	Muhammad Ar Rahim, Ibrahim, Muhammad Amirul, Abdullah, Muhammad Nur Aiman, Shapiee, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Muhammad Aizzat, Zakaria, Noor Azuan, Abu Osman, Anwar P. P., Abdul Majeed
Format:	Article
Language:	English
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/33630/ http://umpir.ump.edu.my/id/eprint/33630/1/MAR1.pdf

Similar Items

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 through the integration of IMU and machine learning
by: Muhammad Amirul, Abdullah, et al.
Published: (2020)

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)

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 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)

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 by Means of the Integration of Transfer Learning and Machine Learning Models
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)

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

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

The identification of hunger behaviour of lates calcarifer using k-nearest neighbour
by: Taha, Zahari, et al.
Published: (2018)

The Identification of hunger behaviour of lates calcarifer using k-nearest neighbour
by: Zahari, Taha, et al.
Published: (2018)

The application of k -Nearest Neighbour in the identification of high potential archers based on relative psychological coping skills variables
by: Zahari, Taha, et al.
Published: (2018)

The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm
by: Taha, Zahari, et al.
Published: (2018)

Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
by: Zahari, Taha, et al.
Published: (2018)

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

Optimization of k-Nearest Neighbour to categorize Indonesian’s news articles
by: Ihsan, Afdhalul, et al.
Published: (2021)

Nearest neighbour group-based classification
by: Samsudin, Noor A., et al.
Published: (2010)

From Big data to Smart Data with the K-Nearest Neighbours algorithm
by: Triguero, Isaac, et al.
Published: (2016)

The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm
by: Zahari, Taha, et al.
Published: (2018)

Heart disease prediction using ensemble of k-nearest neighbour, random forest and logistic regression method
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2024)

Trucks, tricks, and technologies of government: analyzing the productive encounter between governance and resistance in skateboarding.
by: Lombard, Kara-Jane
Published: (2016)

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)

Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
by: Thoi, Wen Bin
Published: (2018)

Durian species recognition based on Fast Discrete Curvelet Transform and K-Nearest Neighbour
by: Shaharom, Nur Delliera Shahiera, et al.
Published: (2019)

Breast cancer classification using mammography image and K-Nearest Neighbour / Najihah Ahmad Latif
by: Ahmad Latif, Najihah
Published: (2020)

Case Modelling Odour Profiles and Temperature Intensity of Water: A Comparative Analysis using Case-Based Reasoning and K-Nearest Neighbours
by: Muhammad Naqiuddin, Ali Ibrahim, et al.
Published: (2024)

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)

Phase diagram of the Ising model with next-nearest-neighbour interactions
by: Ganikhodjaev, Nasir, et al.
Published: (2010)

Phase diagram of the Ising model next-nearest-neighbour interactions
by: Ganikhodjaev, Nasir, et al.
Published: (2010)

Phase diagram of the Ising model with next-nearest-neighbour interactions
by: Ganikhodjaev, Nasir, et al.
Published: (2011)

Texture-based of Naja Kaouthia snake recognition using K-Nearest Neighbour (KNN) / Nurul Hafeeza Aswani Aziz
by: Aziz, Nurul Hafeeza Aswani
Published: (2017)

A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
by: Islam, Md Nahidul, et al.
Published: (2022)

Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using kNearest Neighbour (k-NN)
by: Mohamad Hushnie, Haron, et al.
Published: (2023)

Classification of compressive strength grades for lightweight aggregate concrete with palm oil fuel ash (POFA) using k-Nearest Neighbour (k-NN)
by: Mohamad Hushnie, Haron, et al.
Published: (2023)

An improvement algoithm for Iris classification by using Linear Support Vector Machine (LSVM), k-Nearest Neighbours (k-NN) and Random Nearest Neighbous (RNN) / Ahmad Haadzal Kamarulzalis and Mohd Asrul Affendi Abdullah
by: Kamarulzalis, Ahmad Haadzal, et al.
Published: (2019)

Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data
by: Abdullah, Mohd Hafizul Afifi
Published: (2021)