Search Results for "eye tracking code"

This SDK provides everything you need to create your own Virtual Reality (VR) experiences for Google Cardboard. It supports essential VR features, such as motion tracking, stereoscopic rendering, and user interaction via the viewer button. With these capabilities, you can build entirely new VR experiences, or enhance existing apps with VR capabilities. You can use the Cardboard SDK to turn a smartphone into a VR platform. A smartphone can display 3D scenes with stereoscopic rendering, track...

...Collect distributed insights for CPG, AEC and retail environments. Prove out your hypotheses by conducting experiments in VR. Receive scientific accuracy in captured eye-tracking, fixations and biometrics.. Improve product development workflows to enable rapid insights. This SDK allows you to integrate your Unity games with Cognitive3D, which provides analytics and insights about your Unity project. In addition, Cognitive3D empowers you to take actions that will improve users' engagement with your experience.

A software package of Unity to use HTC VIVE Pro Eye, a head-mounted display with virtual reality technology, for assessment of saccadic eye movement. C# programming file to configure the measurement system. C# programming file to disable the tracking of head movement of the VR headset. If the tracking is active, the position of the stimuli targets for saccade measurement changes when the user moves the head.

...It implements a hybrid CPU/GPU raycaster, suited for real-time rendering of effects such as lens distortion. By default, raycaster.vcxproj is configured to build all .cu files to the compute_61,sm_61 target. If your GPU needs a different code-gen target, you can change this in the raycaster project properties. Some installations of the CUDA SDK and Visual Studio integration appear to have broken build dependency tracking. If you're seeing behavior after code modification that looks like stale code from header files referenced in .cu files, try cleaning the solution and building from scratch (or install a newer CUDA Toolkit).

The tools in this project are used by the Virtual Reality lab at University of Texas at Austin to record the stream of rendered images (OpenGL) and combine them with eye tracking data (if eyes are being tracked) and user defined metadata. The project is split into two parts. DVR is used to record the data stream as a QuickTime movie. The RVD is used to read the movie recorded by the DVR. Acknowledgements: John Stone - created most of the code base Gabriel Diaz and Joseph Cooper - QA Dmitry Kit - Maintainer/QA Dr. ...