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University of Iceland
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It is demonstrated that a model trained on CSI data can be used to evaluate low-granularity RSSI data consisting of decibel-milliwatt (dBm) values to roughly locate people in the collection space, implying that a wide range of IoT devices can be used for privacy invasion in Wi-Fi-dense environments.