Real-Time Hand Gesture Recognition for OpenXR Using Transformer-Based Machine Learning
This study integrates transformer-based machine-learning models for real-time hand gesture recognition, using hand-tracking data captured through the OpenXR standard in Unity, and outlines how the approach can be extended toward detecting the flow of movement, i.e., the transitions between gestures, as future work.
Salar Rezayani, Russell Butler
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