Public projects of the Machine Learning and Data Analytics Lab at the Friedrich-Alexander-University Erlangen-Nürnberg
The researchers in the Machine Learning and Data Analytics (MaD) lab conduct theoretical and applied research for wearable computing systems and machine learning algorithms for engineering applications at the intersection of sports and health care. Our motivation is generating a positive impact on human wellbeing, be it through increasing performance, maintaining health, improving rehabilitation, or monitoring disease.
Pinned LoadingWe developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.
The Gait and Movement Analysis Package
A Python library to calibrate 6 DOF IMUs
A Python package for the analysis of biopsychological data.
A python package for interaction with time series data.
Pipeline and Dataset helpers for complex algorithm evaluation.
The biomechanical motion analysis and creation (BioMAC) simulation toolbox can be used to analyse human movement, with a focus on gait simulations
mad-lab-fau/BioMAC-Sim-Toolbox’s past year of commit activity C 21 Apache-2.0 5 4 0 Updated Jul 11, 2025Code repository for the paper "Estimating Group Means Under Local Differential Privacy" accepted at PETS 2025.
mad-lab-fau/ldp-group-mean’s past year of commit activity Python 2 MIT 0 0 0 Updated Jul 1, 2025A Python package for the analysis of biopsychological data.
mad-lab-fau/BioPsyKit’s past year of commit activity Python 44 MIT 9 10 1 Updated Jun 30, 2025The official colors of FAU as matplotlib/seaborn colormaps
mad-lab-fau/fau_colors’s past year of commit activity TeX 12 MIT 3 2 0 Updated May 28, 2025A Python library to calibrate 6 DOF IMUs
mad-lab-fau/imucal’s past year of commit activity Python 45 MIT 8 1 0 Updated Apr 25, 2025The Gait and Movement Analysis Package
mad-lab-fau/gaitmap’s past year of commit activityYou can’t perform that action at this time.
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