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Detecting and Correcting for Human Obstacles in BLE Trilateration Using Artificial Intelligence.

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Summary
This summary is machine-generated.

This study introduces a dynamic Artificial Intelligence (AI) model to improve Bluetooth Low Energy (BLE) indoor positioning. The AI model compensates for Received Signal Strength Indicator (RSSI) fluctuations caused by human body shadowing, enhancing accuracy.

Keywords:
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Area of Science:

  • Wireless communication
  • Indoor positioning systems
  • Artificial Intelligence

Background:

  • Bluetooth Low Energy (BLE) is a popular wireless technology for indoor positioning.
  • Received Signal Strength Indicator (RSSI) fluctuations, caused by advertising channel behavior and human body shadowing, pose challenges for BLE accuracy.
  • Existing methods struggle to dynamically compensate for these RSSI variations.

Purpose of the Study:

  • To propose and implement a dynamic Artificial Intelligence (AI) model to mitigate RSSI fluctuations in BLE indoor positioning.
  • To detect and compensate for human body shadowing effects on RSSI values using multiple BLE advertising channels.
  • To enhance the accuracy and reliability of BLE-based indoor positioning systems.

Main Methods:

  • Development and implementation of a dynamic AI model utilizing three distinct BLE advertising channels.
  • Experimental validation in an indoor office environment.
  • Training the AI model on 70% of observations and evaluating its performance on the remaining 30%.

Main Results:

  • The AI model effectively detects human body shadowing.
  • Significant compensation of RSSI values for dynamic blockage caused by human bodies was achieved.
  • Demonstrated improvement in RSSI-based ranging and positioning accuracy.

Conclusions:

  • The proposed dynamic AI model successfully addresses RSSI fluctuations in BLE indoor positioning.
  • Human body shadowing effects can be effectively mitigated, leading to improved positioning accuracy.
  • This approach offers a promising solution for robust and accurate BLE-based indoor positioning.