News

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12OCT 2022
News
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 specializing in the field of sensing and instrumentation, embedded systems and hardware design. He got […]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 specializing in the field of sensing and instrumentation, embedded systems and hardware design. He got […]
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11OCT 2022
News
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.
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13SEP 2022
News
New video explaining the CRC EmpkinS
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 (Sonderforschungsbereich EmpkinS) produced a high-quality video about our research.
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06SEP 2022
News
New paper “Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen”
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-to-end word trajectory reconstruction system for handwriting using inertial sensors. We trained a Convolutional Neural Network to retrace the movement […]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-to-end word trajectory reconstruction system for handwriting using inertial sensors. We trained a Convolutional Neural Network to retrace the movement […]
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09AUG 2022
News
Check out the YogiTherapy App! – A Collaboration between the University Hospital and the MaD Lab
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 adjacent joints. The app promotes flexible exercising in a home-based environment […]
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08AUG 2022
News
Discussing Machine Learning in Medicine with Merck
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 patients do not have to rely on infrequent checkups in […]
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