What is Who-Fi? The AI-Powered Technology Transforming Wi-Fi Signals Into Biometric Monitoring Tools

Who-Fi is an innovative technology that uses artificial intelligence (AI) to identify and monitor individuals without visual input. Although still in the experimental phase, research suggests it can transform ordinary Wi-Fi signals into biometric scanners. This allows for tracking movements and identifying unique biometric signatures.

According to a study in the online preprint journal arXiv, standard 2.4GHz Wi-Fi signals can be utilised for identity verification and surveillance. The technology raises new concerns about digital privacy and security.

Understanding Who-Fi Technology

The Who-Fi system combines a Wi-Fi signal with a transformer-based neural network, also known as a large language model (LLM). This LLM analyses "channel state information" (CSI), monitoring changes in Wi-Fi signal strength and phase as they reflect off an individual's body, similar to radar and sonar systems.

When a person is near a Wi-Fi signal, it creates a unique pattern due to signal distortion. This pattern is as precise as other biometric identifiers like fingerprints or facial patterns. The Who-Fi system can recognise this signature and associate it with individuals.

Once trained on these signatures, the system can track movements and identify individuals even after they re-enter the network zone later. It can also capture body movement data and recognise sign language. The system's main advantage is its ability to function without visual or auditory sensors like cameras or microphones.

Deployment and Efficiency of Who-Fi

The study indicates that deploying the entire Who-Fi system requires only a single-antenna transmitter and a three-antenna receiver, making it cost-effective. Researchers found that even if the target is behind a wall walking at normal speed, Who-Fi achieves 95.5% precision.

The accuracy remains consistent regardless of clothing changes or carrying items like backpacks. A single system can identify and track up to nine individuals simultaneously.

Evasion Capabilities of Who-Fi

Who-Fi has high evasion capabilities, making it difficult for technologies that detect surveillance systems to spot it. This is because it doesn't use special hardware or emit detectable patterns like infrared or radar light. Additionally, its passive radio frequency (RF) sensing helps keep it concealed.

This technology presents both opportunities and challenges in digital privacy and security realms. As AI continues to evolve, understanding its implications becomes crucial for balancing innovation with privacy concerns.