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.
Python package with helper functions for working with FAU's High Performance Cluster (HPC).
The biomechanical motion analysis and creation (BioMAC) simulation toolbox can be used to analyse human movement, with a focus on gait simulations
A Python library to load and convert sensor data recorded with "NilsPod" sensors by Portabiles (https://www.portabiles.de).
Helper to access to open-source gait datasets in a way compatible with the gaitmap gait analysis library
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