Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance

EE Cust, AJ Sweeting, K Ball… - Journal of sports …, 2019 - Taylor & Francis
Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

[HTML][HTML] Classification of human motion data based on inertial measurement units in sports: a sco** review

C Kranzinger, S Bernhart, W Kremser, V Venek… - Applied Sciences, 2023 - mdpi.com
Inertial measurement units (IMU) are widely used in sports applications to digitise human
motion by measuring acceleration and rotational velocity in three-dimensional space. A …

AI-enabled prediction of video game player performance using the data from heterogeneous sensors

A Smerdov, A Somov, E Burnaev… - Multimedia Tools and …, 2023 - Springer
The emerging progress of video gaming and eSports lacks the tools for ensuring high-
quality analytics and training in professional and amateur eSports teams. We report on an …

Skating into the unknown: sco** the physical, technical, and tactical demands of competitive skateboarding

SN Diewald, J Neville, JB Cronin, D Read, MR Cross - Sports medicine, 2024 - Springer
Background The inclusion of skateboarding in the Olympics suggests that athletes and
coaches are seeking ways to enhance their chances of succeeding on the world stage …

The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning

MA Abdullah, MAR Ibrahim, MNAB Shapiee… - … : Proceedings of the 2nd …, 2020 - Springer
The evaluation of tricks executions in skateboarding is commonly carried out subjectively.
The panels of judges rely on their prior experience in classifying the effectiveness of tricks …

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 …

The classification of skateboarding tricks by means of the integration of transfer learning and machine learning models

MNA Shapiee, MAR Ibrahim, MAM Razman… - Embracing Industry 4.0 …, 2020 - Springer
Generally, the assessment of skateboarding tricks executions is completed abstractly
dependent on the judges' understanding and experience. Hence, an objective and means …

Classification of Australian football kick types in-situation via ankle-mounted inertial measurement units

EE Cust, AJ Sweeting, K Ball… - Journal of Sports …, 2021 - Taylor & Francis
The utility of inertial measurement units (IMUs) for sporting skill and performance analysis
during training and competition is advantageous for enhancing the objectivity of athlete …

Assessment of perceptual-cognitive abilities among athletes in virtual environments: Exploring interaction concepts for soccer players

M Wirth, S Gradl, D Poimann, H Schaefke… - Proceedings of the …, 2018 - dl.acm.org
Cognitive skills and their assessment gain increasing importance in soccer. In the past,
athletes' perceptual-cognitive capabilities were only assessed using 2D media with its …

The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning

MNA Shapiee, MAR Ibrahim, MA Mohd Razman… - … : Proceedings of the 5th …, 2020 - Springer
More often than not, the evaluation of skateboarding tricks executions is assessed intuitively
according to the judges' observation and hence are susceptible to biasness if not inaccurate …