Basketball activity classification based on upper body kinematics and dynamic time warping

X Hu, S Mo, X Qu - International journal of sports medicine, 2020 - thieme-connect.com
Basketball activity classification can help document players' statistics, allow coaches,
trainers and the medical team to quantitatively supervise players' physical exertion and …

Automatic classification of running surfaces using an ankle-worn inertial sensor

MTO Worsey, HG Espinosa, JB Shepherd, DV Thiel - Sports Engineering, 2021 - Springer
Running surfaces influence energy consumption and gait parameters including swing time
and stance time. This paper compares running gait cycle time, swing time and stance time …

A deep learning control strategy of IMU-based joint angle estimation for hip power-assisted swimming exoskeleton

L Chen, X Yan, D Hu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Wearable exoskeleton techniques are becoming mature and widely used in many areas.
However, the biggest challenge lies in that the control system should recognize and follow …

[HTML][HTML] An overview of machine learning applications in sports injury prediction

A Amendolara, D Pfister, M Settelmayer, M Shah, V Wu… - Cureus, 2023 - ncbi.nlm.nih.gov
Use injuries, ie, injuries caused by repetitive strain on the body, represent a serious problem
in athletics that has traditionally relied on historic datasets and human experience for …

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 …

Robustness of deep learning models for vision tasks

Y Lee, J Kim - Applied Sciences, 2023 - mdpi.com
In recent years, artificial intelligence technologies in vision tasks have gradually begun to be
applied to the physical world, proving they are vulnerable to adversarial attacks. Thus, the …

Leakage prediction in machine learning models when using data from sports wearable sensors

Q Dong - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
One of the major problems in machine learning is data leakage, which can be directly
related to adversarial type attacks, raising serious concerns about the validity and reliability …

Enhancing accuracy and convenience of golf swing tracking with a wrist-worn single inertial sensor

M Kim, S Park - Scientific Reports, 2024 - nature.com
In this study, we address two technical challenges to enhance golf swing trajectory accuracy
using a wrist-worn inertial sensor: orientation estimation and drift error mitigation. We …

Automated classification of movement quality using the Microsoft Kinect V2 sensor

PF Dajime, H Smith, Y Zhang - Computers in Biology and Medicine, 2020 - Elsevier
Practitioners commonly perform movement quality assessment through qualitative
assessment protocols, which can be time-intensive and prone to inter-rater measurement …

Cross-modal self-attention mechanism for controlling robot volleyball motion

M Wang, Z Liang - Frontiers in Neurorobotics, 2023 - frontiersin.org
Introduction The emergence of cross-modal perception and deep learning technologies has
had a profound impact on modern robotics. This study focuses on the application of these …