Design and control of experiments in virtual reality and beyond The BioMotionLab Toolkit for Unity Experiments helps you design and run experiments in Unity quickly and iteratively without fussing over coding details. You define your variables and experiment structure, and the toolkit will automatically create a table of trials to run. You can customize what […]
MoVi: A Large Multipurpose Motion and Video Dataset MoVi is the first human motion dataset to contain synchronized pose, body meshes and video recordings. The MoVi database can be applied in human pose estimation and tracking, human motion prediction and synthesis, action recognition and gait analysis. Publication The paper is currently published at PlosOne. […]
What causes the facing-the-viewer bias? How do we construct a coherent interpretation of the world when incoming data are often incomplete, noisy, and ambiguous? What guiding principles are used by our visual system in order to create such a reliable ‘reality’? These questions, and more, have guided recent research at the BioMotion Lab. In our […]
Human visual perception is highly adaptive. While this has been known and studied for a long time in domains such as color vision, motion perception, or the processing of spatial frequency a number of more recent studies have shown that adaptation and adaptation aftereffects also occur in high-level visual domains like shape perception and face […]
