WiBorder: Precise Wi-Fi based Boundary Sensing via Through-wall Discrimination
summary
WiBorder claims precise Wi‑Fi sensing boundaries by discriminating through‑wall vs. inside reflections using Channel State Information from commodity devices and antenna diversity to cancel random phase and amplify wall attenuation. The team implements a real nursing‑home deployment with an intrusion detector and an area detector, reporting 99.4% detection rate with 0.68% false alarms and up to 97.03% area accuracy, showing a practical boundary classifier based on a novel reflected‑signal metric.
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