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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Simplified Indoor Localization Using Bluetooth Beacons and Received Signal Strength Fingerprinting with Smartwatch.

Leana Bouse^1,2, Scott A King^1,2, Tianxing Chu^1,3

¹Department of Computer Science, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA.

Sensors (Basel, Switzerland)

|April 13, 2024

Summary

This study presents an indoor localization system using Bluetooth Low Energy beacons and a smartwatch. The system accurately determines room-level location, offering a low-cost, low-complexity solution for indoor positioning needs.

Keywords:

Bluetooth Low Energy indoor positioning systems indoor tracking mobile tracking smartwatch

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Area of Science:

Computer Science
Electrical Engineering
Ubiquitous Computing

Background:

Global Positioning Systems (GPS) are ineffective for indoor location tracking due to signal attenuation.
Precise indoor positioning requires alternative technologies to overcome GPS limitations.
Existing indoor localization systems can be complex and costly for end-users.

Purpose of the Study:

To develop a low-cost, low-complexity indoor localization system.
To achieve room-level location detection within a user's indoor space.
To enable concurrent use of smartwatch applications by minimizing processing demands.

Main Methods:

Utilized Bluetooth Low Energy (BLE) beacons and a smartwatch Bluetooth scanner.
Implemented the Nearest Neighbor algorithm for localization.
Applied a moving average filter to enhance the accuracy of the results.

Main Results:

Achieved 85.9% accuracy in a three-room household setting.
Reached 92.106% accuracy when tested across five rooms.
Demonstrated high accuracy (over 96%) in most regions, with false positives concentrated in transitional areas.

Conclusions:

The developed system provides an effective and efficient solution for indoor localization.
The system's low complexity and processing requirements make it user-friendly and suitable for concurrent smartwatch use.
The approach offers a practical alternative for precise indoor positioning where GPS is unavailable.