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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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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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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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Related Experiment Video

Updated: Sep 16, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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WiPIHT: A WiFi-Based Position-Independent Passive Indoor Human Tracking System.

Xu Xu1, Xilong Che1, Xianqiu Meng1

  • 1School of Computer Science and Technology, Jilin University, Changchun 130012, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

WiPIHT enables accurate indoor human activity trajectory reconstruction using WiFi signals, overcoming limitations of existing methods by not requiring transmitter/receiver (TX/RX) position knowledge. This passive system offers real-time tracking and trajectory analysis without specialized hardware.

Keywords:
Channel State Information (CSI)WiFi sensingindoor movement trackingposition independencesignal processing

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Area of Science:

  • Human-computer interaction
  • Wireless sensing
  • Indoor localization

Background:

  • Traditional indoor localization methods like vision-based tracking, infrared, and acoustics face environmental limitations or require specialized equipment.
  • Current WiFi-based human sensing methods often rely on WiFi fingerprints, demanding extensive training, fixed environments, or precise transmitter/receiver (TX/RX) positioning, leading to instability with position changes.

Purpose of the Study:

  • To propose WiPIHT, a novel system for stable indoor human activity trajectory tracking and reconstruction using commercial WiFi devices.
  • To overcome the dependency on known TX-RX positions in existing WiFi-based trajectory reconstruction methods.
  • To enable passive, real-time, and accurate tracking without requiring users to carry devices or attach locators.

Main Methods:

  • Utilizes an innovative Channel State Information (CSI) channel analysis method.
  • Extracts location-independent real-time movement speed features by analyzing the autocorrelation function of CSI.
  • Incorporates Fresnel zone and motion velocity direction decomposition for movement direction change patterns independent of TX-RX positions.

Main Results:

  • WiPIHT accurately reconstructs human activity trajectory shapes without prior knowledge of TX or human initial positions.
  • Demonstrates significant advantages in tracking accuracy, real-time performance, equipment simplicity, and cost compared to existing methods.
  • Achieves stable sensing performance even when TX-RX positions are uncertain or change.

Conclusions:

  • WiPIHT offers a robust and practical solution for indoor human activity trajectory reconstruction using readily available WiFi infrastructure.
  • The system's ability to perform location-independent analysis makes it adaptable to dynamic environments.
  • Presents a cost-effective and efficient alternative for passive, real-time human sensing and activity recognition.