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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

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An Indoor Location-Based Control System Using Bluetooth Beacons for IoT Systems.

Jun-Ho Huh¹, Kyungryong Seo²

¹Department of Software, Catholic University of Pusan, Geumjeong-gu, 57 Oryundae-ro, Busan 46252, Korea. 72networks@cup.ac.kr.

Sensors (Basel, Switzerland)

|December 20, 2017

Summary

This study implements an indoor location-based control system using Bluetooth 4.0 and Received Signal Strength Indication (RSSI) for precise user positioning. While effective, the system

Keywords:

Artificial Intelligence Bluetooth beacon IoT Java Android implementation Python implementation control system indoor localization

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Published on: July 27, 2018

Area of Science:

Computer Science
Electrical Engineering
Ubiquitous Computing

Background:

Indoor location-based control systems are crucial for personalized services in smart environments.
Existing systems often face challenges in accuracy and cost-effectiveness for widespread adoption.
The integration of wireless technologies like Bluetooth 4.0 is key to advancing indoor positioning.

Purpose of the Study:

To develop and implement an indoor location-based control system for enhanced user services.
To evaluate the effectiveness of Bluetooth 4.0 and Received Signal Strength Indication (RSSI) for indoor localization.
To explore the potential of such systems for achieving 'Smart Living' environments.

Main Methods:

Utilized a localization server, service-provision client, and user application for system architecture.
Employed Bluetooth 4.0, RSSI, and trilateration for indoor positioning.
Implemented a range-average algorithm for distance measurement and analyzed RSSI datasets.

Main Results:

Successfully implemented an indoor location-based control system (First scenario).
Developed an algorithm effective in extracting valid samples from RSSI data (Second scenario).
Identified limitations related to sample size, sampling speed, and environmental changes affecting measurement precision.

Conclusions:

The implemented system demonstrates the feasibility of Bluetooth-based indoor positioning for service provision.
The developed algorithm shows promise but requires further refinement to overcome precision limitations.
Bluetooth technology offers a low-cost solution for indoor location-based services, with potential for broad application upon solving precision issues.