Estefania Munoz Diaz

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—The use of smartphones for pedestrian positioning applications has become important in recent years. Algorithms for detecting steps and estimating their length can be found throughout the literature. In this paper we present new algorithms that increase the accuracy of the estimated step length and decrease the number of undetected steps. Unlike state of(More)
—The use of foot-mounted inertial measurement units (IMUs) has shown promising results in providing accurate human odometry as a component of accurate indoor pedestrian navigation. The specifications of these sensors, such as the sampling frequency have to meet requirements related to human motion. We investigate the lowest usable sampling frequency: To do(More)
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