arXiv:2606.23771v1 Announce Type: cross Abstract: Extended Reality (XR) presents a challenging use case for 5G and 6G networks, requiring high data-rates and lowlatency communication to deliver a truly immersive experience. Moreover, in order to seamlessly translate physical actions to the virtual world, accurate gesture recognition and pose estimation are required. Current XR interaction solutions based on handheld controllers and cameras cannot easily capture full-body poses, inhibit the free use of hands, and require good visibility and a clear line of sight. In this work, we propose a mult
The proliferation of advanced 5G/6G networks and increasing demand for immersive XR experiences are driving the need for integrated sensing and communication solutions that overcome current XR limitations.
This development signals a critical advancement in how users interact with virtual environments, potentially unlocking broader adoption and more sophisticated applications for XR through improved natural interaction methods.
Current XR interaction methods relying on handheld controllers and cameras will be supplemented or replaced by systems that can capture full-body poses without line-of-sight issues, enabling a more natural and immersive user experience.
- · XR hardware manufacturers
- · 5G/6G network providers
- · AI/ML developers for gesture recognition
- · Gaming and entertainment industries
- · Traditional XR controller manufacturers
- · Camera-based interaction systems in XR
More realistic and intuitive avatar control in XR environments becomes feasible.
Increased user engagement and adoption of XR for professional training, remote work, and social interactions due to enhanced immersion and ease of use.
The merging of physical and digital identities and actions could accelerate, leading to new forms of digital ownership and interaction with profound societal implications.
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