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
- 69 followers
- Erlangen, Germany
- https://www.mad.tf.fau.de
- @FAU_MaD_Lab
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Repositories
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- 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 - sleep_analysis Public
mad-lab-fau/sleep_analysis’s past year of commit activity - cft-analysis Public
Python package for the analysis of data collected during the Cold Face Test (CFT) study.
mad-lab-fau/cft-analysis’s past year of commit activity - hpc-helper Public
Python package with helper functions for working with FAU's High Performance Cluster (HPC).
mad-lab-fau/hpc-helper’s past year of commit activity