The field of virtual and augmented reality is moving towards more immersive and interactive experiences, with a focus on natural and intuitive motion technologies. Recent developments have centered around enhancing the sense of presence and realism in virtual environments, with innovations in full-body motion recognition, human animation, and real-time motion generation. These advancements have the potential to revolutionize the way we interact with virtual worlds, enabling more realistic and engaging experiences. Notable papers include:

• Locomotion in CAVE: Enhancing Immersion through Full-Body Motion, which proposed a novel locomotion framework for CAVE environments.
• Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs, which introduced a method for generating full-body motions from sparse inputs using a neural network model.
• End-to-End Motion Capture from Rigid Body Markers with Geodesic Loss, which developed a deep-learning-based regression model for motion capture using rigid body markers.