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 …

The use of wearable microsensors to quantify sport-specific movements

R Chambers, TJ Gabbett, MH Cole, A Beard - Sports medicine, 2015 - Springer
Background Microtechnology has allowed sport scientists to understand the locomotor
demands of various sports. While wearable global positioning technology has been used to …

Inertial sensor technology for elite swimming performance analysis: A systematic review

R Mooney, G Corley, A Godfrey, LR Quinlan… - Sensors, 2015 - mdpi.com
Technical evaluation of swimming performance is an essential factor of elite athletic
preparation. Novel methods of analysis, incorporating body worn inertial sensors (ie …

Digital twin coaching for physical activities: A survey

R Gámez Díaz, Q Yu, Y Ding, F Laamarti, A El Saddik - Sensors, 2020 - mdpi.com
Digital Twin technology has been rising in popularity thanks to the popularity of machine
learning in the last decade. As the life expectancy of people around the world is increasing …

Sensor-based stroke detection and stroke type classification in table tennis

P Blank, J Hoßbach, D Schuldhaus… - Proceedings of the 2015 …, 2015 - dl.acm.org
In this paper we present a sensor-based table tennis stroke detection and classification
system. We attached inertial sensors to table tennis rackets and collected data of 8 different …

An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing

MTO Worsey, HG Espinosa, JB Shepherd, DV Thiel - IoT, 2020 - mdpi.com
Machine learning is a powerful tool for data classification and has been used to classify
movement data recorded by wearable inertial sensors in general living and sports. Inertial …

Automatic swimming activity recognition and lap time assessment based on a single IMU: a deep learning approach

E Delhaye, A Bouvet, G Nicolas, JP Vilas-Boas… - Sensors, 2022 - mdpi.com
This study presents a deep learning model devoted to the analysis of swimming using a
single Inertial Measurement Unit (IMU) attached to the sacrum. Gyroscope and …

A novel macro-micro approach for swimming analysis in main swimming techniques using IMU sensors

M Hamidi Rad, V Gremeaux, F Dadashi… - … in Bioengineering and …, 2021 - frontiersin.org
Inertial measurement units (IMU) are proven as efficient tools for swimming analysis by
overcoming the limits of video-based systems application in aquatic environments. However …

Behavioral dynamics in swimming: The appropriate use of inertial measurement units

B Guignard, A Rouard, D Chollet, L Seifert - Frontiers in psychology, 2017 - frontiersin.org
Motor control in swimming can be analyzed using low-and high-order parameters of
behavior. Low-order parameters generally refer to the superficial aspects of movement (ie …

An effective swimming stroke recognition system utilizing deep learning based on inertial measurement units

L Chen, D Hu - Advanced Robotics, 2023 - Taylor & Francis
Machine learning (ML) and deep learning (DL) techniques have been applied to activity
recognition in sports such as swimming with the help of inertial measurement units (IMU). In …