Machine Learning and Data Analytics Lab

As of 1 October 2025, Prof. Eskofier has assumed his main position at Ludwig-Maximilians-Universität München. He remains affiliated with Friedrich-Alexander-Universität Erlangen-Nürnberg and Helmholtz München. The Machine Learning and Data Analytics (MaD) Lab is currently in a transitional phase. However, our research in machine learning and data analytics for sports and healthcare remains active, and teaching activities and thesis supervision continue without interruption. Please check back later for further updates.

Research

Teaching

Teaching

The MaD Lab offers a variety of options for students in various degree programs and degrees.

Student courses
Teaching

Student Theses and Jobs

Background We recorded 13 EEG hyperscanning experiments in which groups of three acquainted people held 12 conversational trials each, spanning free speech, consensus finding, and conflict conditions. Alongside 96-channel EEG at 2.5 kHz and multimodal video, audio was captured via three directional microphones and one central omnidirectional microphone. Our initial goal is Diarization (to detect…

Background We recorded 13 EEG hyperscanning experiments in which groups of three acquainted people held 12 conversational trials each, spanning free speech, consensus finding, and conflict. Alongside 96-channel EEG at 2.5 kHz and multi-microphone audio, every session was filmed. The video is stored as .mkv and is already synchronised to the EEG through a photodiode signal, so…

Background We recorded 13 EEG hyperscanning experiments in which groups of three acquainted people held 12 conversational trials each, across free speech, consensus finding, and conflict conditions. The sessions were filmed, and the video is already photodiode-synchronised to the 96-channel EEG. Audio from three directional microphones and one omnidirectional microphone gives us diarized speaking intervals,…

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News

We are proud to share our latest study, published in MDPI Audiology Research, in collaboration with WS Audiology! Together, we explored how hearing aid amplification affects gait performance using hearing-aid integrated motion sensors. Our study showed that in low cognitive demand settings, amplification doesn’t significantly change walking, but it highlights the huge potential of earables for…

We are excited to share our latest study, published in JMIR Human Factors, which resulted from a collaboration with the amazing team from ProCarement GmbH. Together, we explored how we can support patients through better knowledge transfer and patient engagement in their digital health app ProHerz. Working with ProCarement allowed us to combine research and…

We are delighted to announce that Dr. Janina Beilner has received her certificate as a professor on 25.03.2025 and is now officially an Honorary Professor at the Machine Learning and Data Analytics Lab. We look forward to continuing our collaboration with her in this new role. Congratulations to Prof. Dr. Janina Beilner on this well-deserved…

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