Wi-Fi sensing makes it possible to track movement in the dark and through walls.
A team of researchers from Nanyang Technological University in Singapore recently unveiled a new method for tracking human movement for the metaverse.
One of the key features of the metaverse is the ability to represent real world objects and people in the digital world in real time. In virtual reality, for example, users can turn their heads to change their viewpoints or manipulate physical controllers in the real world to affect the digital environment.
The status quo for capturing human activity in the metaverse uses device-based sensors, cameras, or a combination of both. However, as the researchers write in their preprint research paper, both of these modalities have immediate limitations.
