Pedestrian dead-reckoning algorithms for dual foot-mounted inertial sensorsстатья Исследовательская статья Электронная публикация

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[1] Chistiakov I. A., Nikulin A. A., Gartseev I. B. Pedestrian dead-reckoning algorithms for dual foot-mounted inertial sensors // 26th Saint Petersburg International Conference on Integrated Navigation Systems Proceedings. — State Research Center of the Russian Federation Concern CSRI Elektropribor, JSC Saint Petersburg, Russia, 2019. This work proposes algorithms for reconstruction of closed-loop pedestrian trajectories based on two foot-mounted inertial measurement units (IMU). The first proposed algorithm allows calculation of a trajectory using measurements from only one IMU. The second algorithm uses data 11 The data used in the article are available for downloading at http://gartseev.ru/projects/mkins2019. from both foot-mounted IMUs simultaneously. Both algorithms are based on the Kalman filter and the assumption that while a foot is on the ground its velocity is supposed to be zero. Two methods for comparing the obtained trajectories are proposed, advantages and disadvantages of each method are indicated and a way to optimize the computation time is presented. In addition, a method is proposed for constructing one generalized trajectory of human motion based on the trajectories of each leg. [ DOI ]

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