In the ever-evolving world of technological advancement, scientists are devising ingenious ways to track human movement in the metaverse. This revolutionary approach involves the use of Wi-Fi signals and artificial intelligence – blending seamlessly with the advanced Web3 computing platform.
Revolutionary Technology
Creating a virtual roadmap of spatial interactions has always been a challenge in the tech arena. Lovi Sarang, a doctoral student at Monash University, along with his team, made a leap in overcoming this obstacle. They cleverly turned to untapped Wi-Fi signals and artificial intelligence to pioneer a unique tracking system. “Wi-Fi signals are ubiquitous and can penetrate walls, offering the perfect mechanism to map human movements in any indoor setting, including the Metaverse,” said Sarang, shedding light on their choice of this technology.
This innovative technology harnesses the power of Wi-Fi signals bouncing off humans and objects in the environment and plots an accurate representation of the movement. Artificial intelligence then steps in, interpreting this complex maze and producing a coherent and detailed portrayal. This amalgamation has led to the creation of a Wi-Fi-based human activity recognition model called Wi-AR.
The Unveiling of Wi-AR
The unveiling of the Wi-AR model at the IEEE Globecom conference was well received. Its potential uses go beyond monitoring human movements for commercial VR/AR applications. It opens a new avenue for security systems to monitor suspicious activities without relying on visible light conditions. Moreover, the healthcare sector could benefit from this technology by tracking the post-surgery activities of patients without the needs for wearable sensors.
Ripe for Web3 Integration
The Wi-AR’s capabilities are primed for integration with the advanced Web3 computing platform. The concepts of decentralization and transparency that Web3 brings to the table fit the idea of mapping spatial interactions flawlessly. Moreover, this confluence of technologies could serve as a catalyst in the rise of the Metaverse, transforming how we perceive virtual realities.
In conclusion, the intersection of Wi-Fi signals, artificial intelligence and Web3 is not just fueling the Metaverse’s evolution but is also proving valuable in diverse sectors such as healthcare and security. Nonetheless, while the blend of these disruptive technologies appears promising, further research and developments are needed to refine their functionalities and potential uses, marking an exciting frontier in the domain of technological research.
