The working group deals with a wide variety of technologies to capture human data, such as movement but also vital parameters, search them for patterns and analyze them. In doing so, we try to develop methods that are independent of the sensor technology used to capture the data. Thus, we are able to analyze movements that have been captured, for example, with video cameras, accelerometers (as they are built into smartphones and smartwatches), or EMG sensors. We are focusing on the following:

Wearables (wearable sensors): There will be smaller and more powerful sensor technology in the form of wearables in the future. Here, we are developing hardware that should be able to robustly measure certain parameters to robustly detect disease patterns and events, such as epileptic seizures.

Contactless measurement:  Using data from video, depth, and thermal imaging cameras, we determine body poses and movements. We are also working on techniques to determine vital signs from this data.

Data analysis and visualization: The collected data must be analyzed. To this end, we are developing statistical methods, algorithms and software tools to assist in this process. We are also working on methods to visualize the data and analyses appropriately for different types of users.

Networking, data protection and security: In the areas described above, a lot of sensitive health data is collected. We are working on technologies that can be used to transfer and process this data, while ensuring data privacy and security.

Staff:

• Hannah Greß, M. Sc.

Publications (selected):

• An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data; Hashim Yasin, Saba Ghani, Björn Krüger; In: Sensors (Mar. 2023), 23:7

• An Efficient 3D Human Pose Retrieval and Reconstruction from 2D Image-Based Landmarks; Hashim Yasin und Björn Krüger; In: Sensors (Apr. 2021), 21:7

• Analyzing Spinal Shape Changes During Posture Training Using a Wearable Device; Katharina Stollenwerk, Jonas Müller, André Hinkenjann und Björn Krüger; In: Sensors (Aug. 2019)

• Action observation plus sonification. A novel therapeutic protocol for Parkinson’s patient with freezing of gait; Susanna Mezzarobba, Michele Grassi, Lorella Pellegrini, Mauro Catalan, Björn Krüger, Giovanni Furlanis, Paolo Manganotti und Paolo Bernardis; In: Frontiers in Neurology (Jan. 2018), 8(723)

• Efficient Unsupervised Temporal Segmentation of Motion Data; Björn Krüger, Anna Vögele, Tobias Willig, Angela Yao, Reinhard Klein und Andreas Weber; In: IEEE Transactions on Multimedia (Apr. 2017), 19:4(797-812)

• A Dual-Source Approach for 3D Pose Estimation from a Single Image; Hashim Yasin, Umar Iqbal, Björn Krüger, Andreas Weber und Juergen Gall; In proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2016 (CVPR)

• Movement sonification: Effects on motor learning beyond rhythmic adjustments; Alfred O. Effenberg, U. Fehse, Gerd Schmitz, Björn Krüger und H. Mechling; In: Frontiers in Neuroscience (Mai 2016), 10:219

• One Small Step for a Man: Estimation of Gender, Age, and Height from Recordings of One Step by a Single Inertial Sensor; Qaiser Riaz, Anna Vögele, Björn Krüger und Andreas Weber In: Sensors (Dez. 2015), 15:12(31999-32019)

• Motion Reconstruction Using Very Few Accelerometers and Ground Contacts; Qaiser Riaz, Tao Guanhong, Björn Krüger und Andreas Weber; In: Graphical Models (Apr. 2015)

• MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical Aggregation; Jürgen Bernard, Nils Wilhelm, Björn Krüger, Thorsten May, Tobias Schreck und Jörn Kohlhammer; In: IEEE Transactions on Visualization and Computer Graphics (Dez. 2013)

• Motion Reconstruction Using Sparse Accelerometer Data; Jochen Tautges, Arno Zinke, Björn Krüger, Jan Baumann, Andreas Weber, Thomas Helten, Meinard Müller, Hans-Peter Seidel und Bernd Eberhardt; In: ACM Trans. Graph. (Mai 2011), 30:3(18:1-18:12)

An overview on Publikations and Citations is available on Google Scholar.

Funding / Grants:

• German Research Foundation (DFG)

Collaborative Research Consortia / Scientific Co-operations:

• Institut of Computer Science, Bonn University
• Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany (Martin Schulte-Rüther)
• Institute of Exercise Training and Sport Informatics, Cognition- and Sports Games Research, German Sport University Cologne (Stefanie Klatt)
• Institute of Media and Imaging Technology, Faculty of Information, Media and Electrical Engineering, TH Köln (Arnulph Fuhrmann, Jan Salmen)