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.
The MaD Lab is the home of the Innovation Lab for Wearable and Ubiquitous Computing, where students develop innovative prototypes with industry partners.
As Matthias has always been interested in math and physics, he studied both subjects to become a high school teacher. After graduating he continued his studies and enrolled in the Master of Physics program. He worked at the Chair of Applied Physics in Erlangen for three years and focused on building...
Congratulations to Juliana Klein for winning the best poster award at ORTHOKongress in Weiden with her poster on developing algorithms for computing knee stability parameters using a sensor equipped knee sleeve. Also credits to Markus Zrenner for supporting Juliana.
Well Done Guys!
Matthias and Philipp had the pleasure to get invited to the VDI Event „Machine Learning@Operations“ to promote two of our projects for industry partners. First of all our joint course ML4Industry (in cooperation with REP and FAPS) offers users in production and quality engineering the possibility to...
Next round started!
We were really impressed how many students appeared and are looking forward to the new semester :).
Great “Thank you” already to our partners for their project pitches and their support.
Activity monitoring using wearables is becoming ubiquitous, although accurate cycle level analysis, such as step-counting and gait analysis, are limited by a lack of realistic and labeled datasets. We address this need for both a benchmark dataset as well as the smart annotation methods used to crea...