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
- 58 followers
- Erlangen, Germany
- https://www.mad.tf.fau.de
- @FAU_MaD_Lab
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Repositories
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- mlts-exercise-public Public
Repository for the exercise of Machine Learning for Time Series (MLTS), a lecture given at FAU.
mad-lab-fau/mlts-exercise-public’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 - sok-ldp-data-analysis Public
Code for the paper "SoK: Descriptive Statistics Under Local Differential Privacy"
mad-lab-fau/sok-ldp-data-analysis’s past year of commit activity