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Field Application of Global Positioning System01:28

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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Updated: Sep 6, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic

Vladimir Bellavista-Parent1, Joaquín Torres-Sospedra2, Antoni Pérez-Navarro1

  • 1Faculty of Computer Sciences, Multimedia and Telecommunication, Universitat Oberta de Catalunya, 08018 Barcelona, Spain.

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Summary

This review analyzes 119 papers on indoor positioning using Wi-Fi signals and machine learning (ML). It clarifies common ML techniques, their applications, accuracy, and data usage in Wi-Fi-based indoor localization systems.

Keywords:
Wi-FiWi-Fi radio mapbluetoothindoormachine learningpositioning

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Signal Processing

Background:

  • Indoor positioning lacks a universal standard like outdoor GPS.
  • Wi-Fi signals and Machine Learning (ML) offer a promising solution for indoor localization.
  • The increasing number of publications necessitates a comprehensive review.

Purpose of the Study:

  • To review and classify existing research on Wi-Fi-based indoor positioning using ML.
  • To identify the most prevalent ML techniques and their application contexts.
  • To assess the accuracy, dataset utilization, and Wi-Fi signal types employed in the field.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • In-depth analysis of 119 selected research papers.
  • Classification of studies based on ML techniques, application scenarios, accuracy metrics, and data sources.

Main Results:

  • Identified the most commonly used ML algorithms for indoor positioning.
  • Detailed the typical environments and scenarios where these techniques have been applied.
  • Evaluated the reported accuracy of different approaches and the quality of datasets used.

Conclusions:

  • Wi-Fi and ML present a viable and evolving approach to indoor positioning.
  • This review provides a structured overview to guide future research and development in the field.
  • Key parameters for future studies in Wi-Fi-based indoor localization are highlighted.