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
Congratulation to the authors!
Abstract: Optimal control simulations of musculoskeletal models can be used to reconstruct motions measured with optical motion capture to estimate joint and muscle kinematics and kinetics. These simulations are mutually and dynamically consistent, in cont...
The Tensor Tournament T3, held as part of the VHB courses "Machine Learning for Engineers I" and "Machine Learning for Engineers II", was a thrilling experience for all 27 teams of students who participated. The competition, which took place on January 21, 2023, challenged teams to solve thr...
We are happy to announce that our paper titled “Perspective on “in the wild” movement analysis using machine learning” is published: https://doi.org/10.1016/j.humov.2022.103042. Recent advances in wearable sensing and machine learning have created ample opportunities for “in the wild” movement analy...
Abstract: Inertial measurement units (IMU) are used diagnostically in the movement analysis of Parkinson’s disease (PD) patients, allowing an objective way to assess biomechanical motion and gait parameters. The Timed Up and Go (TUG) is a standardized clinical gait test widely used in the monitoring...
Want to score high with your machine learning skills? Then join us for The Tensor Tournament @UniFAU! 3 ML challenges, free food and drinks, and amazing prices await you. Register now for your chance to win Coral AI dev boards.
The Hackathon will take place on Saturday, January 21st, 20...
