Welcome
About the Machine Learning and Data Analytics Lab
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.
Home of the Innovation Lab
The MaD Lab is the home of the Innovation Lab for Wearable and Ubiquitous Computing, where students develop innovative prototypes with industry partners.
The registration for the Innolab in the summer term 2018 starts on the 5th of March! Students can register via Studon!
Recent News
Ivanna Timotius presented her research during Measuring Behavior 2018 in Manchester, UK: "Rodent’s Stride Length Depends on Body Size: Implications for CatWalk Assay"
and "Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping".
@mbconference #MB2018
... Weiterlesen
Maike Stoeve, former student of the Pattern Recognition Lab and now a PhD candidate at the MaD Lab made third place at the „Connecting Healthcare IT“ Newcomer Award for her Master´s Thesis written at the Patter Recognition Lab at FAU (https://www5.cs.fau.de). The award is granted annually for thesis... Weiterlesen
During Girls`Day young girls gain insights into technical, scientific and mechanical careers. Eleven girls from 5th to 7th grade took a closer look at our work at the MaD Lab. By recording acceleration and gyroscope data, they explored the motions of daily life activities as walking. In the end, the... Weiterlesen
Peter Blank hat den mit 2000 Euro dotierten ccc-Technologiepreis gewonnen. Der Diplom-Ingenieur für Mechatronik ist Mitarbeiter am Lehrstuhl für Maschinelles Lernen und Datenanalytik der Friedrich-Alexander-Universität Erlangen-Nürnberg und entwickelte innerhalb seiner Promotionsarbeit – die er in d... Weiterlesen
Wo Unternehmen und Studierende die Technik von Morgen entwickeln
Schon seit einigen Jahren bestimmt die fortschreitende Digitalisierung unser Leben. Industrie 4.0, Smart Homes, selbstfahrende Autos sind nur einige Beispiele. Dass der Kühlschrank einem sagt, was einzukaufen ist, und dass die Zahnbür... Weiterlesen
