XR2Learn

XR2Learn

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Leveraging the European XR industry technologies to empower immersive learning and training

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XR2Learn's repositories

Enabler-6-Personalisation-Tool

Personalization Tool utilizes the user’s predicted emotions as the output of the Training and Inference domain, together with contextual information, e.g., a user and activity levels, to provide personalized suggestions on the recommended activity level for the user in educational XR applications.

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Enablers-2-4-Training

Training tools involve Enablers 2, 3, and 4 with related components, a total of five tools, for pre-training and fine-tuning models used in XR2Learn.

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Enablers-CLI

Command Line Interface to facilitate the use of XR2Learn training, inference and personalization tools.

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unity-app-example

Example project of how to communicate a Unity Application with Personalization Enablers. Personalization Enablers and Unity application to communicate by exchanging messages using Pub/Sub protocol.

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en-1-interact

Enabler INTERACT redirection: please check this repository instead.https://github.com/XR2Learn/enabler-interact

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Enabler-5-Inference

Inference tools are designed for the unimodal and multimodal emotion classification and evaluation in XR2Learn.

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magic-xroom

XR2Learn Magic Xroom virtual reality application

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