Fedor Korsakov

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In biomechanics studies, researchers collect, via experiments or simulations, datasets with hundreds or thousands of trials, each describing the same type of motion (e.g., a neck flexion-extension exercise) but under different conditions (e.g., different patients, different disease states, pre- and post-treatment). Analyzing similarities and differences(More)
We present a study of interactive virtual reality visualizations of scientific motions as found in biomechanics experiments. Our approach is threefold. First, we define a taxonomy of motion visualizations organized by the method (animation, interaction, or static presentation) used to depict both the spatial and temporal dimensions of the data. Second, we(More)
We review the motivations underlying the design of the EigenTrust [4] algorithm for trust management in P2P file sharing networks, then illustrate through a simulated P2P network how EigenTrust's reliance on pre-trusted peers undermines its other security requirements and can lead to severely compromised networks. We then explore a potential alternative to(More)
Using widely accessible VR technologies, researchers have implemented a series of multimodal spatial interfaces and virtual environments. The results demonstrate the degree to which we can now use low-cost (for example, mobile-phone based) VR environments to create rich virtual experiences involving motion sensing, physiological inputs, stereoscopic(More)
Figure 1: Three visualization designs for conveying motion data for two " bumpy discs " that rotate, translate, and eventually collide, an abstraction of data analysis scenarios encountered in biomechanics. Left: Interactive Space, Animated Time – A 3D input device controls scene rotation; the time dimension is controlled automatically via animation.(More)
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