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Passive Infrared (PIR)-Based Indoor Position Tracking for Smart Homes Using Accessibility Maps and A-Star Algorithm.

Dan Yang1, Bin Xu2, Kaiyou Rao3

  • 1School of Information Science and Engineering, Northeastern University, Shenyang 110819, China. yangdan@mail.neu.edu.cn.

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|January 25, 2018
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Summary

This study introduces a new indoor human localization method using passive infrared (PIR) sensors and an A-star algorithm. The system accurately tracks occupant positions for smart home services.

Keywords:
A-start algorithmPIR sensorsaccessibility mapindoor position trackingsmart home

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Area of Science:

  • Robotics and Artificial Intelligence
  • Human-Computer Interaction
  • Sensor Networks

Background:

  • Accurate indoor occupant localization is crucial for smart home services, including robot assistance and appliance control.
  • Existing localization methods often face challenges in complex indoor environments.

Purpose of the Study:

  • To propose an innovative localization method for tracking human positions in indoor environments using passive infrared (PIR) sensors.
  • To enhance smart home services by providing precise occupant location data for intelligent applications.

Main Methods:

  • An accessibility map was created based on occupant movement patterns and prior environmental knowledge.
  • Passive infrared (PIR) sensors were strategically placed using the accessibility map for initial location detection.
  • The A-star algorithm was employed to refine localization by fusing PIR sensor data with the accessibility map.

Main Results:

  • The proposed method successfully tracked human positions within a mock apartment testbed.
  • Experimental results validated the system's effectiveness in providing accurate localization data.
  • The approach offers a viable solution for home robot localization in smart environments.

Conclusions:

  • The developed localization method effectively tracks indoor occupants using PIR sensors and the A-star algorithm.
  • This technique enhances the capabilities of smart home service systems by enabling precise human tracking.
  • The study provides a practical solution for home robot localization, improving intelligent service delivery.