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Introduction/Aims
Limb girdle muscular dystrophy type 2B (LGMDR2) and facioscapulohumeral muscular dystrophy (FSHD) are genetic muscular dystrophies with an increasing number of potential therapeutic approaches. The aim of this study is to report the data of exploratory digital outcomes extracted from wearable magneto‐inertial sensors used in a non‐controlled environment for ambulant patients with...
We explore a new sensor suite to provide a precise and robust navigation information, primarily intended for pedestrian localisation. We use an IMU sensor augmented with an array of magnetometers, called MIMU (for Magneto-Inertial measurement Unit) hereafter, and a single central camera as the vision sensor. The MIMU sensor has been shown in previous work to significantly improve the inertial dead-reckoning...
This paper aims to leverage magnetic information from a Magneto-Inertial Measurement Unit — an IMU sensor augmented with an array of magnetometers, called MIMU hereafter — in a vision/inertial navigation system (VINS). This ego-motion estimation problem is formulated as an optimization over a sliding window fusing data from the MIMU with features tracked in a monocular camera image stream. The novelty...
We present a novel visual-magneto-inertial system for pedestrian indoor navigation. It includes magnetic, inertial and depth sensors integrated into a device that can be hand held by a pedestrian. Our method builds upon a magneto-inertial tachymeter that is able to accurately reconstruct body speed in presence of magnetic gradient and a depth registration algorithm for computing inter-image movement...
We address the problem of position estimation for a rigid body using an inertial measurement unit (IMU). In this paper, we present a Kalman filtering technique which takes advantage of the magnetic disturbances usually observed indoors. This is an important topic for military operations in urban areas where GPS is often unavailable. This approach yields significant improvements in estimation accuracy...
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