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VR – Environment Resources

3D model library
Models can be used within the VR platform only.

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Details

This is one of many ADVANCED FEATURES for the selected Application. Scroll down for hardware options.

Purpose: The 3D model collection provides the building blocks for creating new virtual worlds. The objects can be loaded in Vizard, positioned, rescaled, rotated, etc. in order to create a virtual environment. In addition to using the collection, the user can create 3D objects or find objects online. For details on 3D model creation, consult the Vizard help manual.

Format: 3D models are provided in the IVE binary file format. They are exported using the OSG exporting process.

    • An IVE file will load into Vizard faster than any other 3D object format.
    • The IVE files are compiled and the models cannot be modified.

Objects from the library are loaded just like any other object in Vizard. For details, consult the Vizard help manual.

Scent library

100+ scents available for the SDS100. Contact BIOPAC to create a scent library for your protocol.
SDS100 Scent Delivery System
Sound library

Global or spatialized sounds (i.e., sound coming from an object, such as engine sound coming from a car) can be easily added in Vizard. A collection of sounds ready to be imported in Vizard is provided.

Support

Application Notes

Knowledge Base

Hardware Packages   |   VR – Environment Resources

Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.

Wired

Spotlight On
free BIOPAC webinar

fNIRS Data Analysis

In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).

What You Will Learn:
• Preparing data for analysis
• Signal conditioning, noise removal, and managing artifacts
• Best practices for visualizing recorded data
• Block analysis using event markers and/or time
• Further temporal and spatial processing of data, including cell-by-cell processing
• Automation of analysis procedures
• Performing common statistical comparisons (t-test, ANOVA)
• Spatial visualization
LIVE Webinar Aug 25th 8am PT/11am ET

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