Loreen Pogrzeba

Loreen Pogrzeba studied computer science in media at the University of Applied Sciences Dresden (HTW Dresden) and finished her diploma in 2009. From 2010 to 2012, she taught computer animation and digital compositing as a lecturer at the HTW Dresden with a focus on 3d animation and character design. Driven by a keen interest in understanding human movement, she worked from 2012 to 2019 as a research assistant for markerless motion capture and analysis at the HTW Dresden. She specialized in application-oriented research in the fields of rehabilitation and sports medicine. Since November 2021 Loreen is a member of the section of Lifespan Developmental Neuroscience at the Technical University (TU) Dresden. She is working towards developing digital twins of people across the lifespan.

• Segmentation and classification of repetitive and/or music-induced movements
• Quantification of movement changes in neurological disorders
• Socio-technical requirements in user-centred software development
• Visualization and sonification of movements

Pogrzeba, L., Neumann, T., Wacker, M., & Jung, B. (2019). Analysis and quantification of repetitive motion in long-term rehabilitation. IEEE Journal of Biomedical and Health Informatics, 23.3, pp. 1075–1085. https://doi.org/10.1109/JBHI.2018.2848103

Pogrzeba, L., Orth, H., Maurer-Burkhard, B., Wacker, M., & Jung, B. (2015). Application of computer-assisted neutral zero method of the shoulder joint in vojta therapy. Journal of rehabilitation medicine 06/2015 47(Supplement 54):391.

Pogrzeba, L., Ericsson, M., Larsson, K., Wacker, M., & Jung, B. (2014). Towards a vocabulary for describing 3D motion data in functionally oriented music therapy. Proceedings of 13th International Conference on Music Perception and Cognition (ICMPC) and 5th Conference for the Asia-Pacific Society for Cognitive Sciences of Music (APSCOM), pp. 222-228, Seoul, South Korea.

Pogrzeba, L., Wacker, M., Jung, B. (2012). Potentials of a low-cost motion analysis system for exergames in rehabilitation and sports medicine. E-Learning and Games for Training, Education, Health and Sports. Edutainment 2012, GameDays 2012. Lecture Notes in Computer Science, vol 7516, pp. 125-133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33466-5_14