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Related Concept Videos

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Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...
Field Application of Global Positioning System01:28

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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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Related Experiment Video

Updated: Jun 26, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Distance correction system for localization based on linear regression and smoothing in ambient intelligence display.

Dae-Hee Kim1, Jae-Hun Choi, Myung-Eun Lim

  • 1Electronics and Telecommunications Research Institute LifeInformatics Team, Korea. dhkim98@etri.re.kr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

This study introduces a method for accurately tracking user distance to an ambient intelligence display using linear regression and smoothing. The system reliably detects proximity even in unexpected situations, enhancing user interaction.

Related Experiment Videos

Last Updated: Jun 26, 2026

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Area of Science:

  • Human-Computer Interaction
  • Ubiquitous Computing
  • Sensor Networks

Background:

  • Ambient intelligence systems require accurate user proximity detection for adaptive interfaces.
  • Existing methods may struggle with accuracy in dynamic or unanticipated user movements.
  • Passive infrared (PIR) and ultrasonic sensors offer complementary data for proximity sensing.

Purpose of the Study:

  • To develop and evaluate a robust method for correcting and accurately determining user distance to an ambient intelligence display.
  • To enhance the reliability of proximity detection, especially during user approach and in challenging conditions.
  • To integrate sensor data processing with dynamic algorithm selection for improved performance.

Main Methods:

  • A system combining an ambient intelligence display with ultrasonic transmitter and PIR sensor was developed.
  • Radio frequency (RF) communication was used for module interconnectivity.
  • Algorithms like linear regression and smoothing were dynamically selected and applied to sensor data, using a queue for reliable previous data.
  • Java-based GUI software was implemented for real-time location tracking.

Main Results:

  • The proposed method accurately determines user distance, even during unanticipated movements towards the display.
  • Dynamic selection of smoothing or linear regression algorithms improved data processing reliability.
  • The integrated system demonstrated effective real-time location tracking capabilities.

Conclusions:

  • The developed system provides an accurate and reliable solution for user distance correction in ambient intelligence displays.
  • Dynamic algorithm selection based on historical data enhances system robustness in real-world scenarios.
  • This approach improves the foundation for context-aware and adaptive human-computer interaction.