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Using Multivariate Statistics

/pdf/enhancing-our-lives-with-immersive-virtual-reality-496gj7y20r.pdf

Enhancing Our Lives with Immersive Virtual Reality

Nationality: American Education: Ph.D. in Sociology and Personality... Alone Together: Why We Expect More from Technology â€¦ https://www.goodreads.com/book/show/8694125-alone-together Start by marking â€œAlone Together: Why We Expect More from Technology and Less from Each Otherâ€ as Want to Read: ... Unfortunately I am no closer to telling you why we expect more from technology & less from each other than I was before I read this book. One of the main things that bothered me about this book was that, even though I was really interested in these â€¦

Alone Together: Why We Expect More from Technology and Less from Each Other

A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges

The screen shows a bag of popcorn on a table. Several kernels have fallen from the bag. An adult, watching with preschool children, asks a question about the picture: "What will happen to the popcorn if I pick up the television set and turn it upside down?" A lot of kids say that the rest of the popcorn will spill out of the bag. While interesting, this mistake is not really surprising. Children often take television literally. They'll soon be older, and will be wise enough to know better.

Media Equation 研究の背景と動向

Mixed Reality can be a valuable tool for research and development in robotics. In this work, we refine the definition of Mixed Reality to accommodate seamless interaction between physical and virtual objects in any number of physical or virtual environments. In particular, we show that Mixed Reality can reduce the gap between simulation and implementation by enabling the prototyping of algorithms on a combination of physical and virtual objects, including robots, sensors, and humans. Robots can be enhanced with additional virtual capabilities, or can interact with humans without sharing physical space. We demonstrate Mixed Reality with three representative experiments, each of which highlights the advantages of our approach. We also provide a testbed for Mixed Reality with three different virtual robotics environments in combination with the Crazyflie 2.0 quadcopter.

Mixed reality for robotics

A virtual reality hardware and software platform comprised of a stereoscope which attaches to a mobile touchscreen computer/tablet. The stereoscope, in which the user looks through, covers just the top portion of the tablet screen. This top portion displays the stereoscopic view of a virtual environment. The bottom portion displays the two-dimensional view. The user touches the view with his/her thumbs and/or fingers in order to interact with and travel through the virtual environment seen in the view.

Hybrid stereoscopic viewing device

The use of commercial video games as rehabilitation tools, such as the Nintendo® Wii Fit™, has recently gained much interest in the physical therapy arena. However, physical rehabilitation requires accurate and appropriate tracking and feedback of performance, often not provided by existing commercial console devices or games. This paper describes the development of an application that leverages recent advances in commercial video game technology to provide fullbody control of animated virtual characters with low cost markerless tracking. The aim of this research is to develop and evaluate an interactive game-based rehabilitation tool for balance training of adults with neurological injury. This paper outlines the development and evaluation of a game-based rehabilitation tool using the PrimeSense depth sensing technology, designed to elicit specific therapeutic motions when controlling a virtual avatar in pursuit of in-game goals. A sample of nine adults participated in the initial user testing, providing feedback on the hardware and software prototype.

/pdf/leveraging-unencumbered-full-body-control-of-animated-f5babvkmna.pdf

Leveraging unencumbered full body control of animated virtual characters for game-based rehabilitation

The ICT Mixed Reality Lab is leveraging an open source philosophy to influence and disrupt industry. Projects spun out of the lab's efforts include the VR2GO smartphone based viewer, the inVerse tablet based viewer, the Socket HMD reference design, the Oculus Rift and the Project Holodeck gaming platforms, a repurposed FOV2GO design with Nokia Lumia phones for a 3D user interface course at Columbia University, and the EventLab's Socket based HMD at the University of Barcelona. A subset of these will be demonstrated. This open approach is providing low cost yet surprisingly compelling immersive experiences.

Open virtual reality

Visualization is a critical component of neuroimaging, and how to best view data that is naturally three dimensional is a long standing question in neuroscience. Many approaches, programs, and techniques have been developed specifically for neuroimaging. However, exploration of 3D information through a 2D screen is inherently limited. Many neuroscientific researchers hope that with the recent commercialization and popularization of VR, it can offer the next-step in data visualization and exploration. Neuro Imaging in Virtual Reality (NIVR), is a visualization suite that employs various immersive visualizations to represent neuroimaging information in VR. Some established techniques, such as raymarching volume visualization, are paired with newer techniques, such as near-field rendering, to provide a broad basis of how we can leverage VR to improve visualization and navigation of neuroimaging data. Several of the neuroscientific visualization approaches presented are, to our knowledge, the first of their kind. NIVR offers not only an exploration of neuroscientific data visualization, but also a tool to expose and educate the public regarding recent advancements in the field of neuroimaging. By providing an engaging experience to explore new techniques and discoveries in neuroimaging, we hope to spark scientific interest through a broad audience. Furthermore, neuroimaging offers deep and expansive datasets; a single scan can involve several gigabytes of information. Visualization and exploration of this type of information can be challenging, and real-time exploration of this information in VR even more so. NIVR explores pathways which make this possible, and offers preliminary stereo visualizations of these types of massive data.

NIVR: Neuro imaging in virtual reality

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