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.
Machine Learning and Data Analytics Lab FAU
Public projects of the Machine Learning and Data Analytics Lab at the Friedrich-Alexander-University Erlangen-Nürnberg
- 86 followers
- Erlangen, Germany
- https://www.mad.tf.fau.de
- @FAU_MaD_Lab
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Repositories
Showing 10 of 70 repositories
- carwatch-web Public
Web Configurator for "CARWatch – An Open-Source Framework for Improving Cortisol Awakening Response Sampling"
mad-lab-fau/carwatch-web’s past year of commit activity - NilsPodLib Public
A Python library to load and convert sensor data recorded with "NilsPod" sensors by Portabiles (https://www.portabiles.de).
mad-lab-fau/NilsPodLib’s past year of commit activity - gaitmap-datasets Public
Helper to access to open-source gait datasets in a way compatible with the gaitmap gait analysis library
mad-lab-fau/gaitmap-datasets’s past year of commit activity - BioMAC-Sim-Toolbox Public
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
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