Violeta Sosa León

Spatial Intelligence Lab

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Projekt:Socially occupied spaces from skeleton data
Raum:141
E-Mail:violetasdev@uni-muenster.de
Webseite:https://violetasdev.com/
Über:
I implement algorithms to process social signals with depth cameras and identify social groups dynamics, especially spatial structures. We aim with this research to contribute to the automatic characterization of gatherings to improve services, spaces design, human-human and human-robot interactions.
 
Research
Human social behavior from skeleton data: detecting socially occupied spaces
 
 
Publications
 
2021
V. A. L. S. León and A. Schwering, "Detecting socially occupied spaces with depth cameras: evaluating location and body orientation as relevant social features," 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2021, pp. 1-8, doi: 10.1109/IPIN51156.2021.9662607.
 
2022
Sosa-León, V.A.L.; Schwering, A. Evaluating Automatic Body Orientation Detection for Indoor Location from Skeleton Tracking Data to Detect Socially Occupied Spaces Using the Kinect v2, Azure Kinect and Zed 2i. Sensors 2022, 22, 3798. https://doi.org/10.3390/s22103798

 
Teaching
 
Sose 2020: Body tracking with depth cameras in closed spaces (Bachelor's in Geoinformatics)