Unseen Eyes: Through-Wall Wi-Fi Human Tracking

The provided text explores the transformative capability of Wi-Fi signals in perceiving human activity through barriers like walls. It explains how various methods, including Received Signal Strength Indicator (RSSI) monitoring, passive Doppler radar, Channel State Information (CSI) analysis, and smart device signal sniffing, can detect presence, track movement, and even discern specific gestures. The article details the underlying physics of signal interaction with human bodies and discusses the hardware and environmental factors that influence the accuracy and range of these techniques. Finally, it addresses the significant privacy and legal implications of such technology, highlighting the ongoing debate between security benefits and individual rights.

Research done with the help of artificial intelligence, and presented by two AI-generated hosts.