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Wearable devices are a key driver for the development of pedestrian navigation systems. In this work, we consider inertial navigation systems (INSs). There is a diversity of such INSs. Normally, the comparison of INSs is restricted to indoor environments, or to outdoor small areas. However, it is of interest to study the behaviour of INSs in large areas. To that end, we present a ground truth system...
Wearable devices have many applications, pedestrian navigation among them. In this case, the inertial measurement unit (IMU) is embedded in the wearable device. Moreover, inertial navigation systems (INSs) based on non-foot-mounted IMUs use the step-length-and-heading estimation approach. The latter requires the calibration of the empirical model to estimate the step length. In this work, we propose...
The aim of this paper is to compare two inertial navigation systems in order to identify their strengths and weaknesses as well as to propose new fusion algorithms for these systems. The goal of the fusion is to combine the best of both navigation systems in order to obtain an improved position estimation of the pedestrian. To that extent, the comparison starts with an analysis of the sensor parameters...
The applications of activity recognition have increased in the last years. Among its uses are promoting healthy life styles or monitoring professional users (like first responders) during life-threatening operations; which caused the need for new research lines. However systems using common devices (like smart phones) equipped with the necessary sensors (e.g. inertial sensors) are not fully developed...
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