Marion Mundt

Edith Cowan University — Australia

Health Professions · Health Sciences

12h-index1.1kcitations41works3.52yr avg
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Research Topics

Balance, Gait, and Falls Prevention(11), Sports Performance and Training(8), Muscle activation and electromyography studies(8), Sports injuries and prevention(7), Non-Invasive Vital Sign Monitoring(5)

Publications41 total

The influence of the marker set on inverse kinematics results to inform markerless motion capture annotations
Scientific Reports·2025· 3 citedOpen Access
Automating Video‐Based Two‐Dimensional Motion Analysis in Sport? Implications for Gait Event Detection, Pose Estimation, and Performance Parameter Analysis
Scandinavian Journal of Medicine and Science in Sports·2024· 7 citedOpen Access
Clustering Offensive Strategies in Australian-Rules Football Using Social Network Analysis
Information·2024· 1 citedOpen Access
The Eye in the Sky—A Method to Obtain On-Field Locations of Australian Rules Football Athletes
AI·2024· 3 citedOpen Access
Editorial: Artificial intelligence to enhance biomechanical modelling
Frontiers in Sports and Active Living·2023· 8 citedOpen Access
Bridging the lab-to-field gap using machine learning: a narrative review
Sports Biomechanics·2023· 10 citedOpen Access
Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose
Sensors·2022· 36 citedOpen Access
Synthesising 2D Video from 3D Motion Data for Machine Learning Applications
Sensors·2022· 9 citedOpen Access
Life Science 4.0
2022
Mechanics 4.0
2022· 2 cited
A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
Sensors·2021· 90 citedOpen Access
PREDICTING 3D GROUND REACTION FORCE FROM 2D VIDEO VIA NEURAL NETWORKS IN SIDESTEPPING TASKS
UWA Profiles and Research Repository (UWA)·2021· 4 citedOpen Access
NO DATASET TOO SMALL! ANIMATING 3D MOTION DATA TO ENLARGE 2D VIDEO DATABASES
UWA Profiles and Research Repository (University of Western Australia)·2021· 1 citedOpen Access
Prediction of ground reaction force and joint moments based on optical motion capture data during gait
Medical Engineering & Physics·2020· 62 cited
Artificial Neural Networks in Motion Analysis—Applications of Unsupervised and Heuristic Feature Selection Techniques
Sensors·2020· 37 citedOpen Access
Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network
Frontiers in Bioengineering and Biotechnology·2020· 159 citedOpen Access
IMU-BASED ACTIVITY RECOGNITION OF THE BASKETBALL JUMP SHOT
ISBS Proceedings Archive·2020· 5 cited
FEATURE SELECTION FOR THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN MOTION ANALYSIS
ISBS Proceedings Archive·2020
Lebenswissenschaften 4.0 – Sensorik und maschinelles Lernen in der Bewegungsanalyse
2020· 1 cited
CREATING VIRTUAL FORCE PLATFORMS FOR CUTTING MANEUVERS FROM KINEMATIC DATA BASED ON LSTM NEURAL NETWORKS
ISBS Proceedings Archive·2020· 1 cited
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Frequent Co-authors

Bernd Markert(26), Franz Bamer(19), Wolfgang Potthast(18), Arnd Koeppe(15), Sina David(12), Jacqueline Alderson(8), Marcus Stoffel(5), Ajmal Mian(4), Christian Herren(4), W Thomsen(3), Thomas Dupré(3), Zachery Born(3), Molly Goldacre(3), Agnes Beckmann(3), Rolf Sobottke(3), Philipp Kobbe(3), Jan Siewe(3), Corey Morris(3), Jason Weber(3), Tom Witter(2)