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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...
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The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
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Step Length Measurements Using the Received Signal Strength Indicator.

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Researchers developed portable transceivers to measure ankle distance using radio signal strength. This enables accurate step length measurement for gait analysis in wireless body area networks.

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Area of Science:

  • Engineering
  • Biomedical Engineering
  • Signal Processing

Background:

  • Accurate measurement of human body part distances is crucial for applications like gait analysis.
  • Existing methods may have limitations regarding health concerns, accuracy, occlusion, or confined spaces.

Purpose of the Study:

  • To develop portable transceivers for measuring distance between human ankles.
  • To derive an experimental path loss model for accurate distance estimation.
  • To address the need for a non-invasive, accurate, and robust distance measurement technique.

Main Methods:

  • Development of portable transceivers utilizing micro-controllers and radio frequency modules.
  • Measurement of received signal strength and path loss in indoor and outdoor environments.
  • Derivation of an experimental path loss model by comparing experimental data with theoretical models.

Main Results:

  • A novel experimental path loss model was derived for transceivers attached to ankles.
  • Accurate step length measurement with centimeter-level distance errors was achieved.
  • The system demonstrated robustness against hardware imperfections.

Conclusions:

  • The developed system provides an accurate and reliable method for measuring distance between human ankles.
  • This technology has potential applications in gait speed measurement and human body part localization within wireless body area networks.
  • The findings contribute to advancements in wearable sensing and human motion analysis.