In recent years, a variety of real-time applications benefit from services provided by localization systems due to the advent of sensing and communication technologies. Since the Global Navigation Satellite System (GNSS) enables localization only outside buildings, applications for indoor positioning and navigation use alternative technologies. Ultra Wide Band Signals (UWB), Wireless Local Area Network (WLAN), ultrasonic or infrared are common examples. However, these technologies suffer from fading and multipath effects caused by objects and materials in the building. In contrast, magnetic fields are able to pass through obstacles without significant propagation errors, i.e. in Non-Line of Sight Scenarios (NLoS). The aim of this work is to propose a novel indoor positioning system based on artificially generated magnetic fields in combination with Inertial Measurement Units (IMUs). In order to reach a better coverage, multiple coils are used as reference points. A basic algorithm for three-dimensional applications is demonstrated as well as evaluated in this article. The established system is then realized by a sensor fusion principle as well as a kinematic motion model on the basis of a Kalman filter. Furthermore, a pressure sensor is used in combination with an adaptive filtering method to reliably estimate the platform's altitude.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795943 | PMC |
| http://dx.doi.org/10.3390/s18010126 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal sentiment analysis based on multi-layer feature fusion and multi-task learning.
Sci Rep
January 2025
School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, JL431, China.
Multimodal sentiment analysis (MSA) aims to use a variety of sensors to obtain and process information to predict the intensity and polarity of human emotions. The main challenges faced by current multi-modal sentiment analysis include: how the model extracts emotional information in a single modality and realizes the complementary transmission of multimodal information; how to output relatively stable predictions even when the sentiment embodied in a single modality is inconsistent with the multi-modal label; how can the model ensure high accuracy when a single modal information is incomplete or the feature extraction performance not good. Traditional methods do not take into account the interaction of unimodal contextual information and multi-modal information.
View Article and Find Full Text PDFEvaluation of synaptotagmin-1 action models by all-atom molecular dynamics simulations.
FEBS Open Bio
January 2025
Institute of Neurophysiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.
Neurotransmitter release is triggered in microseconds by the two C domains of the Ca sensor synaptotagmin-1 and by SNARE complexes, which form four-helix bundles that bridge the vesicle and plasma membranes. The synaptotagmin-1 CB domain binds to the SNARE complex via a 'primary interface', but the mechanism that couples Ca-sensing to membrane fusion is unknown. Widespread models postulate that the synaptotagmin-1 Ca-binding loops accelerate membrane fusion by inducing membrane curvature, perturbing lipid bilayers or helping bridge the membranes, but these models do not seem compatible with SNARE binding through the primary interface, which orients the Ca-binding loops away from the fusion site.
View Article and Find Full Text PDFDeep learning empowered sensor fusion boosts infant movement classification.
Commun Med (Lond)
January 2025
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Leibniz ScienceCampus Primate Cognition and German Center for Child and Adolescent Health (DZKJ), Göttingen, Germany.
Background: To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending to scale-up its application, circumvent costs in the training of human assessors and further standardize classification of spontaneous motor patterns. Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors.
View Article and Find Full Text PDFFluorescence Anisotropy for Monitoring cis- and trans-Membrane Interactions of Synaptotagmin-1.
Methods Mol Biol
January 2025
Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Vesicle fusion induces neurotransmitter release, orchestrated by synaptotagmin-1 (Syt-1) as a Ca sensor. However, the precise molecular mechanisms of Syt-1 remain controversial, with various and competing models proposed based on different ionic strengths. Syt-1, residing on the vesicle membrane alongside anionic phospholipids such as phosphatidylserine (PS), undergoes Ca-induced binding to its own vesicle membrane, known as the cis-interaction, which prevents the trans-interaction of Syt-1 with the plasma membrane.
View Article and Find Full Text PDFMolecular Dynamics Simulations of the SNARE Complex Interacting with Synaptotagmin, Complexin, and Lipid Bilayers.
Methods Mol Biol
January 2025
Departments of Neurology, and Anatomy and Cell Biology, Wayne State University School of Medicine, University Health Center, Detroit, MI, USA.
Molecular dynamics (MD) simulations enable in silico investigation of the dynamic behavior of proteins and protein complexes. Here, we describe MD simulations of the SNARE bundle forming the complex with the neuronal proteins Synaptotagmin-1 (Syt1) and Complexin (Cpx). Syt1 is the synaptic vesicle (SV) protein that serves as the neuronal calcium sensor and triggers synaptic fusion upon calcium binding, and this process is promoted and accelerated by Cpx.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!