Holograms: The story of a word and its cultural uses

Holograms reached popular consciousness during the 1960s and have since left audiences alternately fascinated, bemused or inspired. Their impact was conditioned by earlier cultural associations and successive reimaginings by wider publics. Attaining peak public visibility during the 1980s, holograms have been found more in our pockets (as identity documents) and in our minds (as video-gaming fantasies and “faux hologram” performers) than in front of our eyes. The most enduring, popular interpretations of the word “hologram” evoke the traditional allure of magic and galvanize hopeful technological dreams. This article explores the mutating cultural uses of the term “hologram” as marker of magic, modernity and optimism

Effect of visual feedback on the occipital-parietal-motor network in Parkinson's disease with freezing of gait.

Freezing of gait (FOG) is an elusive phenomenon that debilitates a large number of Parkinson's disease (PD) patients regardless of stage of disease, medication status, or deep brain stimulation implantation. Sensory feedback cues, especially visual feedback cues, have been shown to alleviate FOG episodes or even prevent episodes from occurring. Here, we examine cortical information flow between occipital, parietal, and motor areas during the pre-movement stage of gait in a PD-with-FOG patient that had a strong positive behavioral response to visual cues, one PD-with-FOG patient without any behavioral response to visual cues, and age-matched healthy controls, before and after training with visual feedback. Results for this case study show differences in cortical information flow between the responding PD-with-FOG patient and the other two subject types, notably, an increased information flow in the beta range. Tentatively suggesting the formation of an alternative cortical sensory-motor pathway during training with visual feedback, these results are proposed as subject for further verification employing larger cohorts of patients

Single-image Tomography: 3D Volumes from 2D Cranial X-Rays

As many different 3D volumes could produce the same 2D x-ray image, inverting this process is challenging. We show that recent deep learning-based convolutional neural networks can solve this task. As the main challenge in learning is the sheer amount of data created when extending the 2D image into a 3D volume, we suggest firstly to learn a coarse, fixed-resolution volume which is then fused in a second step with the input x-ray into a high-resolution volume. To train and validate our approach we introduce a new dataset that comprises of close to half a million computer-simulated 2D x-ray images of 3D volumes scanned from 175 mammalian species. Applications of our approach include stereoscopic rendering of legacy x-ray images, re-rendering of x-rays including changes of illumination, view pose or geometry. Our evaluation includes comparison to previous tomography work, previous learning methods using our data, a user study and application to a set of real x-rays

Producing place atmospheres digitally: Architecture, digital visualisations practices and the experience economy

Computer generated images have become the common means for architects and developers to visualise and market future urban developments. This article examines within the context of the experience economy how these digital images aim to evoke and manipulate specific place atmospheres to emphasize the experiential qualities of new buildings and urban environments. In particular, we argue that CGIs are far from ‘just’ glossy representations but are a new form of visualising the urban that captures and markets particular embodied sensations. Drawing on a two year qualitative study of architects’ practices that worked on the Msheireb project, a large scale redevelopment project in Doha (Qatar), we examine how digital visualisation technology enables the virtual engineering of sensory experiences using a wide range of graphic effects. We show how these CGIs are laboriously materialised in order to depict and present specific sensory, embodied regimes and affective experiences to appeal to clients and consumers. Such development has two key implications. Firstly, we demonstrate the importance of digital technologies in framing the ‘expressive infrastructure’ (Thrift 2012) of the experience economy. Secondly, we argue that although the Msheireb CGIs open up a field of negotiation between producers and the Qatari client, and work quite hard at being culturally specific, they ultimately draw “on a Westnocentric literary and sensory palette” (Tolia-Kelly 2006) that highlights the continuing influence of colonial sensibilities in supposedly postcolonial urban processes.This research was funded by the ESRC (RES-062-23-0223)

Improving Big Data Visual Analytics with Interactive Virtual Reality

For decades, the growth and volume of digital data collection has made it challenging to digest large volumes of information and extract underlying structure. Coined 'Big Data', massive amounts of information has quite often been gathered inconsistently (e.g from many sources, of various forms, at different rates, etc.). These factors impede the practices of not only processing data, but also analyzing and displaying it in an efficient manner to the user. Many efforts have been completed in the data mining and visual analytics community to create effective ways to further improve analysis and achieve the knowledge desired for better understanding. Our approach for improved big data visual analytics is two-fold, focusing on both visualization and interaction. Given geo-tagged information, we are exploring the benefits of visualizing datasets in the original geospatial domain by utilizing a virtual reality platform. After running proven analytics on the data, we intend to represent the information in a more realistic 3D setting, where analysts can achieve an enhanced situational awareness and rely on familiar perceptions to draw in-depth conclusions on the dataset. In addition, developing a human-computer interface that responds to natural user actions and inputs creates a more intuitive environment. Tasks can be performed to manipulate the dataset and allow users to dive deeper upon request, adhering to desired demands and intentions. Due to the volume and popularity of social media, we developed a 3D tool visualizing Twitter on MIT's campus for analysis. Utilizing emerging technologies of today to create a fully immersive tool that promotes visualization and interaction can help ease the process of understanding and representing big data.Comment: 6 pages, 8 figures, 2015 IEEE High Performance Extreme Computing Conference (HPEC '15); corrected typo