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Sports Biomechanics|April 19, 2023
Bridging the lab-to-field gap using machine learning: a narrative reviewMarion MundtScientific Reports|April 25, 2025
The influence of the marker set on inverse kinematics results to inform markerless motion capture annotationsMarion Mundt, David Pagnon, Steffi ColyerSensors (Basel, Switzerland)|January 8, 2023
Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPoseMarion Mundt, Zachery Born, Molly Goldacre, et al.Human Movement Science|November 13, 2018
Understanding cutting maneuvers - The mechanical consequence of preparatory strategies and foot strike patternSina David, Marion Mundt, Igor Komnik, et al.Sensors (Basel, Switzerland)|August 23, 2020
Artificial Neural Networks in Motion Analysis-Applications of Unsupervised and Heuristic Feature Selection TechniquesMarion Mundt, Arnd Koeppe, Franz Bamer, et al.European Review of Aging and Physical Activity : Official Journal of the European Group for Research Into Elderly and Physical Activity|September 19, 2019
Walking with rollator: a systematic review of gait parameters in older personsMarion Mundt, Joao Pedro Batista, Bernd Markert, et al.Medical Engineering & Physics|December 2, 2020
Prediction of ground reaction force and joint moments based on optical motion capture data during gaitMarion Mundt, Arnd Koeppe, Sina David, et al.Medical & Biological Engineering & Computing|June 17, 2019
Intelligent prediction of kinetic parameters during cutting manoeuvresMarion Mundt, Sina David, Arnd Koeppe, et al.Gait & Posture|July 1, 2017
A systematic review of gait analysis methods based on inertial sensors and adaptive algorithmsRafael Caldas, Marion Mundt, Wolfgang Potthast, et al.Sensors (Basel, Switzerland)|July 20, 2021
A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement UnitsMarion Mundt, William R Johnson, Wolfgang Potthast, et al.Pageof 2