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Study of Posture Estimation Using MIMO Sensor Based on CSI

In this paper, person postures are estimated by MIMO sensor and the machine learning using channel state information (CSI). MIMO sensors are superior to cameras used in conventional surveillance systems in that they do not invade privacy and can sense even outside the line of sight. CSI are calculated from the data obtained from the sensor measurements, and then the posture classification is performed by the machine learning model based on CSI. The model is trained from the actual measured data and its classification performance is evaluated.