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Robust pedestrian trajectory reconstruction from inertial sensor
2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
In this paper, a strides detection algorithm combined with a technique inspired by Zero Velocity Update (ZUPT) is proposed using inertial sensors worn on the ankle. This innovative approach based on a sensors alignment and machine learning can detect both normal walking strides and atypical strides such as small steps, side steps and backward walking that existing methods struggle to detect. As a consequence, the trajectory reconstruction achieves better performances in daily life contexts fordoi:10.1109/ipin.2019.8911819 dblp:conf/ipin/BeaufilsCGM19 fatcat:cpyqaptm3nh4zavyo25ltbnosm