Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt
Office: S3|06 252
work +49 6151 16-21354
fax +49 6151 16-21342
Office Hours: Mondays, 2-5 p.m.
Ann-Kathrin received her B.Eng. in Media Technologies from the University of Applied Science RheinMain (Wiesbaden) in August, 2011. In cooperation with the Panasonic R&D Center Germany GmbH, Langen, she wrote her bachelor thesis about “Adaptive Coefficients for Deblocking Filter within Hybrid Video Coding”. With her work, she contributed to the international standardization process of the new video coding standard H.265. Further, her work at Panasonic was concerned with the analysis of the state-of-the-art intra prediction within hybrid video coding, as well as with analysis of stereoscopic video.
In October 2012, Ann-Kathrin started the masters program at Technische Universität Darmstadt in Electrical Engineering and Information Technology with a major in Communication and Sensor Networks. She graduated with a M.Sc. in May 2015. Her master thesis, related to biomedical applications of signal processing, was concerned with “Particle Filter for Image-based Photometric Glucose Measurement in Hand-held Devices”.
In October 2015, she commenced working on her PhD in the Signal Processing Group.
Ann-Kathrin's research interest is in the field of radar signal processing for human gait recognition. She is particularly interested in feature extraction from time-frequency representations of the backscattered radar signals from humans. Finally, detection and classification tasks are to be performed.
Open Research Projects
Current Student Projects
|Aparna Nagaraja||Pedestrian Identification Using Ultrasound Signals||Master Thesis (Co-Supervision)|
|Haktan Saka||Simulation of Human Gait Radar Observations||Proseminar|
|Peter Paulat||Early Detection of Adverse Health Events in Humans with Type I Diabetes||Master Thesis (Co-Supervision)|
|Simon Thien||Linear Models for Regression and Classification||Proseminar|
|Christoph Flothow||Dynamic Time Warping for Radar-Based Gait Classification||Project Seminar|
Completed Student Projects
|Simon Güre||Feature Selection for Classification of Human Gait Based on Radar Micro-Doppler Signatures||Bachelor Thesis||08/2018|
|Daniel Weinberger||Sensor Fusion for Gait Classification Based on Multiple Radar Systems||Proseminar, Project Seminar, Bachelor Thesis||08/2018|
|Andre Francani, Jawad Iqbal||Radar-Based Human Gait Classification Using Orthogonal Pseudo-Zernike Polynomials||Seminar (ATISSP)||07/2018|
|Sebastian Dill||Human Gait Recognition Based on Micro-Doppler Signatures Using Multiple Radar Systems||Proseminar, Project Seminar, Bachelor Thesis||05/2018|
|Lukas Schäfer||Radar-Based Human Gait Recognition Using Subspace Methods||Proseminar, Project Seminar, Bachelor Thesis||02/2018|
|Jonas Bley||Radar-based Detection of Human Gait Abnormalities Using the Empirical Mode Decomposition||Proseminar, Project Seminar, Bachelor Thesis||12/2017|
|Mahmood Omaira||Deep Neural Networks for Radar-Based Human Gait Recognition||Master Thesis||12/2017|
|Muhammad Ghufran, Ahmad Nayer||Radar Micro-Doppler Classification Using Orthogonal Pseudo-Zernike Polynomials||Seminar (ATISSP)||07/2017|
|Nils Christian Curtze||Localization of Directional Audio Sources Based on Binaural Cues||Master Thesis (Co-Supervision)||05/2017|