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
You want to spy on our research? You want to know more about radar-based biomonitoring with applications in medicine and psychology?
Nothing easier than that! Our Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation CRC EmpkinS - Empathokinaesthetic Sensor Technology (Sonderforschun...
We are pleased to announce that our latest paper "Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen" is now published at Sensors MDPI.
The Paper is published open access: https://www.mdpi.com/1424-8220/22/14/5347
We developed the first end-t...
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...
