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In this paper we present a system for indoor people tracking based on the combination of wearable sensors and a video analysis module. The sensor consists of an inertial platform, which provides attitude and acceleration data with a high rate. Data is fused by an Extended Kaiman Filtering (EKF) to reconstruct the attitude and the accelerations experienced by the wearable sensors. The information is...
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