Former 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.
In October 2015, Ann-Kathrin commenced working on her PhD in the Signal Processing Group. Her research interest is in the field of radar signal processing for gait analysis with application to medical diagnosis, elderly care and smart homes. The research goal is to extract (medically relevant) features from the time-frequency representations of the backscattered radar signals, i.e., from the so-called micro-Doppler signatures, to assess the observed gait and detect changes in gait patterns.
In May 2015, Ann-Kathrin graduated with a M.Sc. from Technische Universität Darmstadt in Electrical Engineering and Information Technology with a major in Communication and Sensor Networks. 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”.
Ann-Kathrin received her B.Eng. in Media Technologies from RheinMain University of Applied Sciences in August 2011. In cooperation with the Panasonic R&D Center Germany GmbH, Langen, she wrote her bachelor thesis on “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.
Current Student Projects
|Subspace Learning and Generative Adversarial Networks for Radar-Based Gait Recognition||Master Thesis|
|Extraction of Biomechanical Gait Parameters Based on Radar Micro-Doppler Signatures||Bachelor Thesis|
Completed Student Projects
|Robust Bootstrap Methods for Linear Regression with Application to Radar-based Gait Analysis||Proseminar, Project Seminar||09/2019|
|Classification of Gait Asymmetry Based on Sum-of-Harmonics Analysis Bachelor Thesis||Bachelor Thesis||09/2019|
|Dynamic Time Warping for Radar-Based Gait Classification||Bachelor Thesis||09/2019|
|Hypoglycemia Detection Based on Wearable Devices in Humans with Type 1 Diabetes||Master Thesis||08/2019|
|Pedestrian Identification Using Ultrasound Signals||Master Thesis||02/2019|
|Simulation of Human Gait Radar Observations||Proseminar||02/2019|
|Feature Selection for Classification of Human Gait Based on Radar Micro-Doppler Signatures||Bachelor Thesis||08/2018|
|Sensor Fusion for Gait Classification Based on Multiple Radar Systems||Proseminar, Project Seminar, Bachelor Thesis||08/2018|
|Radar-Based Human Gait Classification Using Orthogonal Pseudo-Zernike Polynomials||Seminar (ATISSP)||07/2018|
|Human Gait Recognition Based on Micro-Doppler Signatures Using Multiple Radar Systems||Proseminar, Project Seminar, Bachelor Thesis||05/2018|
|Radar-Based Human Gait Recognition Using Subspace Methods||Proseminar, Project Seminar, Bachelor Thesis||02/2018|
|Radar-based Detection of Human Gait Abnormalities Using the Empirical Mode Decomposition||Proseminar, Project Seminar, Bachelor Thesis||12/2017|
|Deep Neural Networks for Radar-Based Human Gait Recognition||Master Thesis||12/2017|
|Radar Micro-Doppler Classification Using Orthogonal Pseudo-Zernike Polynomials||Seminar (ATISSP)||07/2017|
|Localization of Directional Audio Sources Based on Binaural Cues||Master Thesis (Co-Supervision)||05/2017|
- Digital Signal Processing Lab (WS 15/16 – WS 19/20)
- Advances in Digital Signal Processing: Imaging and Image Processing (SS 16, SS 17)
- Advanced Topics in Statistical Signal Processing (SS 18)
- Praktikum Kommunikationstechnik und Sensorsysteme (WS 16/17, WS 17/18, WS 18/19, WS 19/20)