Year: 2022

New publication: Perspective on “in the wild” movement analysis using machine learning

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...

New Paper: “uTUG: An unsupervised Timed Up and Go test for Parkinson’s disease”

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...

Hackathon: The Tensor Tournament T3

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...

bidt-Digitalisierungskolleg “Applied Data Science in Digital Psychology”

While digitalization is making its way into many areas of everyday life, psychological research and the psychotherapeutic treatment of people with mental disorders are still largely based on analog methods. Although direct contact with patients and study participants is an essential part of the rese...

How would Neural Networks explore the world, if we let them see through „human eyes“ ?? – New Publication

The Machine Learning and Data Analytics (MaD) Lab is pleased to announce that our latest paper “Behind the Machine’s Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention” is now published at Transactions on Machine Learning Research (TMLR) Lin...

New Paper: “Vagus activation by Cold Face Test reduces acute psychosocial stress responses”

Are you feeling stressed? Then simply cool your face! In our latest study, just published in Nature Scientific Reports, we demonstrated that facial cooling stimulates vagal activity, leading to significantly lower biological responses to acute stress! This work results from an excellent, inter...

New Paper: “xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning”

We are pleased to announce that our latest paper "xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning“ is now published at Sensors MDPI. With xLength we developed the first ski jump length prediction. Therefore, we analyzed 2523 ski jumps from 205 athletes on five...

Our New MaD Man – Luca Abel

Luca joined the lab in October 2022. He earned both his bachelor's and master's degrees in medical engineering at FAU Erlangen-Nuremberg, specializing in medical imaging and data processing. During both his bachelor's degree and master's thesis at our lab, he worked on the classification of stress p...

Our New MaD Man – Thomas Maier

Thomas' background lies in electrical engineering, which he mainly studied at the University of Erlangen-Nürnberg. In his Bachelor studies he focused on theoretical electromagnetic field theory before discovering his interests in sensor technology. His Master's studies thus mainly consisted of speci...

Dr. MaD: Eva Dorschky

Congratulations to MaD Dr. #20 Eva Dorschky, who successfully defended her PhD thesis. We thank Prof. Friedl de Groote (KU Leuven) for visiting FAU for the defense.