Bräunig, Johanna

Dr.-Ing. Johanna Bräunig

Department of Electrical-Electronic-Communication Engineering
Institute of Microwaves and Photonics (LHFT)

Room: Raum 6.218
Cauerstr. 9
91058 Erlangen

 Education

  • Doctoral Candidate at LHFT since 04/2020
  • M.Sc. in EEI from 04/2017 to 12/2019
  • Extensional studies EEI from 10/2015 to 03/2017
  • B.A. in International Management with Engineering from 09/2012 to 09/2015

Research Areas

  • Radar imaging in medical technology
  • Radar-based detection of human motion
  • Radar-based human motion analysis using machine learning / deep learning
  • Radar signal processing

Thesis

New topics for theses in the field of “Radar-based detection of human motion” come up regularly, also in combination with Machine/Deep Learning. If you are interested, please contact me!

Publications

  • N. Hofmann, V. Wirth, J. Bräunig, I. Ullmann, M. Vossiek, T. Weyrich and M. Stamminger, "Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction", IEEE Journal of Microwaves, pp. 1-17, Februar, 2025.
    DOI: 10.1109/JMW.2025.3535077
  • D. Mejdani, J. Bräunig, S. GrießHammer, D. Krauß, T. Steigleder, L. Engel, J. Jukic, A. Rozhdestvenskaya, J. Winkler, B. Eskofier, C. Ostgathe and M. Vossiek, "Radar-Based Tremor Quantification Using Deep Learning for Improved Parkinson’s and Palliative Care Assessment", IEEE Transactions on Radar Systems, vol. 2, pp. 1174-1185, November, 2024.
    DOI: 10.1109/TRS.2024.3494473
  • J. Bräunig, S. Heinrich, B. Coppers, C. Kammel, V. Wirth, M. Stamminger, S. Leyendecker, A. Liphardt, I. Ullmann and M. Vossiek, "A Radar-Based Concept for Simultaneous High-Resolution Imaging and Pixel-Wise Velocity Analysis for Tracking Human Motion", IEEE Journal of Microwaves, vol. 4, pp. 639-652, Oktober, 2024.
    DOI: 10.1109/JMW.2024.3453570
  • D. Krauß et al., "A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring", IEEE Open Journal of Engineering in Medicine and Biology, pp. 1-22, Mai, 2024.
    DOI: 10.1109/OJEMB.2024.3397208
  • 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, Mai, 2024.
  • A. Fröhlich, D. Mejdani, L. Engel, J. Bräunig, C. Kammel, M. Vossiek and I. Ullmann, "A Millimeter-Wave MIMO Radar Network for Human Activity Recognition and Fall Detection", in Proceedings of the 2024 IEEE Radar Conference (RadarConf24), Denver, CO, Mai, 2024.
    DOI: 10.1109/RadarConf2458775.2024.10548702
  • S. Fleischmann et al., "Classification of rheumatoid arthritis from hand motion capture data using machine learning", in Proceedings of the 13. Kongress der Deutschen Gesellschaft für Biomechanik (DGfB), Heidelberg, 2024.
  • V. Wirth, J. Bräunig, D. Khouri, F. Gutsche, M. Vossiek, T. Weyrich and M. Stamminger, "Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8322-8329, Abu Dhabi, 2024.
    DOI: 10.1109/IROS58592.2024.10801705
  • J. Bräunig, V. Wirth, M. Stamminger, I. Ullmann and M. Vossiek, "An Efficient yet High-Performance Method for Precise Radar-Based Imaging of Human Hand Poses", in Proceedings of the 2024 21st European Radar Conference, EuRAD 2024, pp. 332-335, Paris, 2024.
    DOI: 10.23919/EuRAD61604.2024.10734919
  • 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.
  • V. Wirth, A. Liphardt, B. Coppers, J. Bräunig, S. Heinrich, S. Leyendecker, A. Kleyer, G. Schett, M. Vossiek, B. Egger and M. Stamminger, "Markerless RGB-D Hand Pose Estimation for Activity Monitoring of Musculoskeletal Diseases", in Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23), Pittsburgh, USA, 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 and S. Leyendecker, "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