  The paper targets the problem of human motion detection using Wireless Local
Area Network devices (WiFi) equipped with pattern reconfigurable antennas.
Motion sensing is obtained by monitoring the body-induced alterations of the
ambient WiFi signals originated from smart antennas supporting the
beam-steering technology, thus allowing to channelize the antenna radiation
pattern to pre-defined spots of interest. We first discuss signal and Channel
State Information (CSI) processing and sanitization. Next, we describe the
motion detection algorithm based on Angle-of-Arrival (AoA) monitoring. Proposed
algorithms are validated experimentally inside a large size smart home
environment.
