Welcome
Welcome to the MaD 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.
Student theses and projects
We are very happy to announce that the app YogiTherapy was just published in the Google Play Store and Apple Store in English and German. YogiTherapy is an e-health application tailored to patients with ankylosing spondylitis, which is a systemic rheumatic disease affecting the spinal column and adj...
Recently Ines Kahlert from Merck and Professor Björn Eskofier from our lab discussed directions toward a smarter healthcare ecosystem. Our goal at the MaD Lab is to improve patient care by providing continuous monitoring during the course of disease using machine learning. Thereby, chronically ill p...
Alexander joined the Lab in June 2022. He completed both his bachelor's and master's degrees in medical engineering at FAU Erlangen-Nuremberg. He specialized in device engineering and prosthetics. He got his first hands-on experience with biomechanics during his bachelor's thesis about gesture recog...
On the 4th of July 2022 the SMART Start team and the Friedrich-Alexander-Universität Erlangen-Nürnberg invite you to a keynote and panel discussion on opportunities and challenges in digital pregnancy care.
Join us!
19:30 - 21:30
d.hip / Henkestraße 127
91052 Erlangen
Madeleine Flaucher and colleagues published their recent work "Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care" in the IEEE Journal of Translational Engineering in Health and Medicine. This work has been a result of a great cooperation between the MaD Lab and th...
