Publications by authors named "Misha Sra"

The vision of virtual reality, since Ivan Sutherland's first head mounted device in 1968, has been the re-creation of reality, something indistinguishable from reality, akin to what was depicted in the 1999 film, The Matrix. However, researchers and developers have largely favored visual perception over other senses, leading to the design of virtual worlds that perhaps look real but do not feel real. This favoring of the visual sense and more recently visual and audio senses, overlooks theory in psychology and phenomenology that places embodied action at the center of perception.

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The vision of extended reality (XR) systems is living in a world where real and virtual elements seamlessly and contextually augment experiences of ourselves and the worlds we inhabit. While this integration promises exciting opportunities for the future of XR, it comes with the risk of experiential distortions and feelings of dissociation, especially related to virtual reality (VR). When transitioning from a virtual world to the real world, users report of experiential structures that linger on, as sort of after images, causing disruptions in their daily life.

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Electroencephalogram (EEG) signals are often used as an input modality for Brain Computer Interfaces (BCIs). While EEG signals can be beneficial for numerous types of interaction scenarios in the real world, high levels of noise limits their usage to strictly noise-controlled environments such as a research laboratory. Even in a controlled environment, EEG is susceptible to noise, particularly from user motion, making it highly challenging to use EEG, and consequently BCI, as a ubiquitous user interaction modality.

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We present Oasis, a novel system for automatically generating immersive and interactive virtual reality environments for single and multiuser experiences. Oasis enables real-walking in the generated virtual environment by capturing indoor scenes in 3D and mapping walkable areas. It makes use of available depth information for recognizing objects in the real environment which are paired with virtual counterparts to leverage the physicality of the real world, for a more immersive virtual experience.

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