Tanja Schultz

Tanja Schultz

tanja.schultz@uni-bremen.de
Institution: University of Bremen
Department: Mathematics and Computer Science
Position: Director, Cognitive Systems Lab
With the integration of sensors into ubiquitous body-worn devices and the advancement of machine learning methods, it is time to use the full spectrum of biosignal data to understand human needs and adapt cognitive systems accordingly.

Biosignal-adaptive cognitive systems

The acquisition, processing, and decoding of multimodal biosignals in real-time, with the aim of interpreting human behavior and predicting human needs in the context of communication with cognitive robots and systems

  • Virtual Lab - A VR Showroom for Biosignals Research (2024)

    Authors: Asmus Eike Eilks, Ahmed Seyit Kücük, Felix Putze, Tanja Schultz

    Published at: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
    DOI: 10.1145/3641825.3689525

  • LabLinking: theory, framework, and solutions of connecting laboratories for distributed human experiments (2024)

    Authors: Tanja Schultz, Felix Putze, Rafael Reisenhofer, Thorsten Fehr, Moritz Meier, Celeste Mason, Florian Ahrens

    Published at: Discover Applied Sciences (Volume: 6)
    DOI: 10.1007/s42452-024-06122-7

  • Human Activity Recognition, Monitoring, and Analysis Facilitated by Novel and Widespread Applications of Sensors (2024)

    Authors: Hui Liu, Hugo Gamboa, Tanja Schultz

    Published at: Sensors (Volume: 24)
    DOI: 10.3390/s24165250

  • Hybrid Adaptive Systems (2024)

    Authors: Ivo Benke, Michael Knierim, Marc Adam, Michael Beigl, Verena Dorner, Ulrich Ebner-Priemer, Manfred Herrmann, Martin Klarmann, Alexander Maedche, Julia Nafziger, Petra Nieken, Jella Pfeiffer, Clemens Puppe, Felix Putze, Benjamin Scheibehenne, Tanja Schultz, Christof Weinhardt

    Published at: Business and Information Systems Engineering (Volume: 66)
    DOI: 10.1007/s12599-024-00861-y

  • Taxonomy and Real-Time Classification of Artifacts During Biosignal Acquisition: A Starter Study and Dataset of ECG (2024)

    Authors: Hui Liu, Shiyao Zhang, Hugo Gamboa, Tingting Xue, Congcong Zhou, Tanja Schultz

    Published at: IEEE Sensors Journal (Volume: 24)
    DOI: 10.1109/JSEN.2024.3356651

  • MS2OD: outlier detection using minimum spanning tree and medoid selection (2024)

    Authors: Jia Li, Jiangwei Li, Chenxu Wang, Fons J. Verbeek, Tanja Schultz, Hui Liu

    Published at: Machine Learning: Science and Technology (Volume: 5)
    DOI: 10.1088/2632-2153/ad2492

  • Developments in the digitalization of public health since 2020: Examples from the Leibniz ScienceCampus Digital Public Health Bremen (2024)

    Authors: Hajo Zeeb, Benjamin Schüz, Tanja Schultz, Iris Pigeot

    Published at: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (Volume: 67)
    DOI: 10.1007/s00103-023-03827-9

  • Multimodal Dementia Screening from Brain Magnetic Resonance Imaging and Conversational Speech (2024)

    Authors: Kim Marie Lankenau, Elisa Brauße, Jana Schill, Jochen G. Hirsch, Johannes Schroder, Matthias Günther, Tanja Schultz

    Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    DOI: 10.1109/EMBC53108.2024.10781749

  • Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech Conversion (2024)

    Authors: Zhao Ren, Kevin Scheck, Qinhan Hou, Stefano Van Gogh, Michael Wand, Tanja Schultz

    Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    DOI: 10.1109/EMBC53108.2024.10781553

  • Emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech Interfaces (2024)

    Authors: Qinhan Hou, Stefano Van Gogh, Kevin Scheck, Zhao Ren, Tanja Schultz, Michael Wand, Jürgen Schmidhuber

    Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    DOI: 10.1109/EMBC53108.2024.10781736