Bräunig, Johanna
Johanna Bräunig, M. Sc.
Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Hochfrequenztechnik
Cauerstr. 9
91058 Erlangen
- Telefon: +49 9131 85-65202
- Faxnummer: +49 9131 85-27212
- E-Mail: johanna.braeunig@fau.de
Akademische Ausbildung
- Doktorandin am LHFT seit 04/2020
- M.Sc. in EEI von 04/2017 bis 12/2019
- Aufbaustudium EEI von 10/2015 bis 03/2017
- B.A. in International Management with Engineering von 09/2012 bis 09/2015
Forschungsgebiete
- Radarbildgebung in der Medizintechnik
- Radarbasierte Erfassung menschlicher Bewegungen
- Radarbasierte Bewegungsanalyse des Menschen mit Hilfe von Machine Learning / Deep Learning
- Radarsignalverarbeitung
Abschlussarbeiten
- Offene Arbeiten: Keine Beiträge gefunden.
Es entstehen regelmäßig neue Themen für Abschlussarbeiten im Fachgebiet „Radarbasierte Erfassung menschlicher Bewegungen“ u.a. auch in Kombination mit Machine/Deep Learning. Bei Interesse meldet euch gerne bei mir!
Neueste Veröffentlichungen
- C. Schüßler, W. Zhang, J. Bräunig, M. Hoffmann, M. Stelzig and M. Vossiek, "Radar-Based Recognition of Static Hand Gestures in American Sign Language", in Proceedings of the 2024 IEEE Radar Conference, Denver, Colorado, USA, Mai, 2024.
- J. Bräunig, D. Mejdani, D. Krauß, S. Grießhammer, R. Richer, C. Schüßler, J. Yip, T. Steigleder, C. Ostgathe, B. Eskofier and M. Vossiek, "Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning", in Proceedings of the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, November, 2023.
DOI: 10.1109/BHI58575.2023.10313506 - J. Bräunig, V. Wirth, C. Kammel, C. Schüßler, I. Ullmann, M. Stamminger and M. Vossiek, "An Ultra-Efficient Approach for High-Resolution MIMO Radar Imaging of Human Hand Poses", IEEE Transactions on Radar Systems, pp. 1-13, August, 2023.
DOI: 10.1109/TRS.2023.3309574 - V. Wirth, A. Liphardt, B. Coppers, J. Bräunig, S. Heinrich, S. Leyendecker, A. Kleyer, G. Schett, M. Vossiek, B. Egger and M. Stamminger, "ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty", in Proceedings of the Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 2625-2633, Paris, 2023.
- J. Bräunig, C. Schüßler, V. Wirth, M. Stamminger, I. Ullmann and M. Vossiek, "A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging", in Proceedings of the EuRAD 2023, Berlin, 2023.
- B. Coppers et al., "Feasibility of using optoelectronic measurement of hand movement for characterizing hand function in rheumatoid arthritis", in Proceedings of the 75th EULAR (European Alliance of Associations for Rheumatology), European Congress of Rheumatology 2022, Copenhagen, 2022.
DOI: 10.1136/annrheumdis-2022-eular.1741 - B. Coppers et al., "Evaluation of marker-based motion capturing to charactherize basic hand movements in rheumatic patients", in Proceedings of the 27th Congress of the European Society of Biomechanics, Porto, 2022.
- B. Coppers et al., "Establishment and evaluation of a sensor-based method to assess hand function in patients with rheumatoid arthritis", in Proceedings of the conference, World Biomechanics Congress 2022, Taipei (online), 2022.
- U. Phutane, A. Liphardt, J. Bräunig, J. Penner, M. Klebl, M. Vossiek, A. Kleyer, G. Schett, S. Leyendecker and K. Tascilar, "Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis — A Pilot Study", Sensors, vol. 21, no. 4, Februar, 2021.
DOI: 10.3390/s21041208 - C. Schüßler, M. Hoffmann, J. Bräunig, I. Ullmann, R. Ebelt and M. Vossiek, "A Realistic Radar Ray Tracing Simulator for Large MIMO-Arrays in Automotive Environments", IEEE Journal of Microwaves, pp. 1-13, 2021.
DOI: 10.1109/JMW.2021.3104722