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
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.
19:30 - 21:30
d.hip / Henkestraße 127
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...
Dear @FAU Students,
The Machine Learning and Data Analytics (MaD) Lab is excited to offer a wide range of seminars in the upcoming summer semester (SS22). The common denominator is AI applied to the most diverse fields. These seminars offer you the opportunity to dive directly into the hottest to...
We are pleased to announce that our latest paper "Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning“ is now published at Sensors MDPI.
The Paper is published open access: https://www.mdpi.com/1561288
We developed the first...