Wearable sensors for real-time kinematics analysis in sports: A review

M Rana, V Mittal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Wearable Inertial sensors have revolutionised the way kinematics analysis is performed in
sports. This paper aims to present a comprehensive review of the literature related to the use …

The classification of skateboarding tricks via transfer learning pipelines

MA Abdullah, MAR Ibrahim, MNA Shapiee… - PeerJ Computer …, 2021 - peerj.com
This study aims at classifying flat ground tricks, namely Ollie, Kickflip, Shove-it, Nollie and
Frontside 180, through the identification of significant input image transformation on different …

Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis

AM Ab Rasid, R Muazu Musa, APP Abdul Majeed… - PLoS one, 2024 - journals.plos.org
The identification and prediction of athletic talent are pivotal in the development of
successful sporting careers. Traditional subjective assessment methods have proven …

An overview of beach soccer, sepak takraw and the application of machine learning in team sports

R Muazu Musa, A PP Abdul Majeed, NA Kosni… - Machine Learning in …, 2020 - Springer
This chapter shall provide an overview of the sport of beach soccer as well as sepak takraw.
It then provides a brief review on existing literature that employs machine learning on team …

Identification of high-performance volleyball players from anthropometric variables and psychological readiness: A machine-learning approach

RM Musa, APP Abdul Majeed… - Proceedings of the …, 2023 - journals.sagepub.com
Modern indoor volleyball has evolved into a high-level strength sport and is seen as one of
the most popular open-skilled team sports. The nature of the sport as an open-based skill …

The classification of wafer defects: a support vector machine with different DenseNet transfer learning models evaluation

LS Xuen, I Mohd Khairuddin, MA Mohd Razman… - … conference on robot …, 2022 - Springer
Wafer defect detection is a non-trivial issue in the semiconductor industry. Conventional
means of defect detection is often labor-intensive based that is prone to error owing to a …

Test-retest reliability of customised inertial measurement units (IMUs) in evaluating skateboarding related manoeuvres

AM Ab Rasid, A Musa, MA Abdullah… - Proceedings of the …, 2022 - journals.sagepub.com
Recent developments in sports technology have enabled sports engineers to utilise the
availability of inertial measurement units (IMUs) to develop a customised system for data …

Motion Based Trick Classification in Skateboarding Using Machine Learning

B Hollaus, E Westenberger, J Kreiner… - … for Systems and …, 2023 - ieeexplore.ieee.org
The success of sports related applications such as Strava and Runtastic showed the
potential for personal progress tracking and competitive digital leader boards. All of the …

The classification of wafer defects: an evaluation of different feature-based ResNet transfer learning models with support vector machine

LS Xuen, I Mohd Khairuddin, MA Mohd Razman… - Advances in Intelligent …, 2023 - Springer
Wafer defect detection is a non-trivial issue in the semiconductor industry. Conventional
means of defect detection are often labour-intensive based that is prone to error owing to a …

Various Type of Crops and Trees Detection Using Clustering Technique Through Image Processing

MIM Rahman, MAM Razman, IM Khairuddin… - Advances in Intelligent …, 2023 - Springer
Abstract Based on ResNet-18 and MobileNetV1, this research created a custom
identification neural network to detect chili, eggplant, and potato for the NVIDIA® Jetson …