Preliminary evaluation of input devices for furniture layout systems employing augmented reality

2014 ◽  
Vol 9 (3) ◽  
pp. 337-339
Author(s):  
Yoshitoshi Shinagawa ◽  
Ayuko Shigeta ◽  
Kiyoshi Nosu
Author(s):  
Patrick Maier ◽  
Gudrun Klinker

Supporting chemistry students in learning and researchers in developing and understanding new chemical molecules is a task that is not that easy. Computer applications try to support the users by visualizing chemical properties and spatial relations. Thus far, there mostly exist applications that are controlled by using ordinary input devices as mice and keyboards. But these input devices have one problem: they always try to map a lower degree of freedom to 6-dimensional movements for the location and the orientation of the virtual molecules. Augmented Chemical Reactions is an application that uses Augmented Reality to visualize and interact with the virtual molecules in a direct way. With the introduced 3D interaction methods, the work of students and researchers is tried to be simplified to concentrate on the actual task.


IJARCCE ◽  
2017 ◽  
Vol 6 (5) ◽  
pp. 470-471 ◽  
Author(s):  
Tanuja R. More ◽  
Avadhoot Modage ◽  
Venkatesh More ◽  
Kedar More

2012 ◽  
Vol 11 (3) ◽  
pp. 1-7 ◽  
Author(s):  
Annette Mossel ◽  
Christian Schönauer ◽  
Georg Gerstweiler ◽  
Hannes Kaufmann

This paper introduces a flexible and powerful software framework based on an off the shelf game engine which is used to develop distributed and collaborative virtual and augmented reality applications. We describe ARTiFICe's flexible design and implementation and demonstrate its use in research and teaching where 97 students in two lab courses developed AR applications with it. Applications are presented on mobile, desktop and immersive systems using low cost 6-DOF input devices (Microsoft Kinect, Razer Hydra, SpaceNavigator), that we integrated into our framework.


Author(s):  
Philippe Meister ◽  
Jack Miller ◽  
Kexin Wang ◽  
Michael C. Dorneich ◽  
Eliot Winer ◽  
...  

This work evaluates augmented reality (AR) training materials for general aviation (GA) weather training. Reviews of GA weather training identify gaps where students lack opportunities to experience weather patterns and lack the ability to correlate weather knowledge in weather-related situations. Three-dimensional (3D) visual models may help close the gaps by visualizing information about weather processes, hazards, and visual cues. A 3D AR thunderstorm model visualizes a single-cell thunderstorm clouds, winds, precipitation, lightning, and advective movement. Preliminary evaluation of the model was conducted through a subject matter expert (SME) review and a usability study. The SME review identified improvements to the model and areas for future content design. The usability study identified usability issues with the model. Insights about the design of weather visualizations are developed into recommendations. The approach will integrate 3D AR models into the weather training curriculum to create interactive print training.


1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.


ASHA Leader ◽  
2013 ◽  
Vol 18 (9) ◽  
pp. 14-14 ◽  
Keyword(s):  

Amp Up Your Treatment With Augmented Reality


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