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Updated: Oct 22, 2025
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Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
Published on: February 8, 2019
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UJAmI Location: A Fuzzy Indoor Location System for the Elderly
Antonio-Pedro Albín-Rodríguez1, Yolanda-María De-La-Fuente-Robles2, José-Luis López-Ruiz3
1Education and Sports Council, Junta de Andalucía (Regional Government of Andalusia), 23007 Jaén, Spain.
Summary
This study introduces a fuzzy indoor location system using Bluetooth Low Energy (BLE) beacons and mobile devices. The fuzzy logic approach enhances accuracy for monitoring elderly individuals, achieving 91.63% precision.
Area of Science:
- Computer Science
- Artificial Intelligence
- Ubiquitous Computing
Background:
- Growing elderly population with physical and cognitive challenges necessitates advanced monitoring solutions.
- Existing indoor location systems struggle with the imprecise nature of Received Signal Strength Indicators (RSSI).
- Smart environments require robust technologies for effective elderly care and safety.
Purpose of the Study:
- To propose a fuzzy indoor location methodology for enhanced monitoring of elderly individuals.
- To address the challenge of RSSI fluctuations using fuzzy logic and a fuzzy linguistic approach.
- To evaluate the proposed system's accuracy compared to non-fuzzy methods.
Main Methods:
- Utilizing mobile devices and Bluetooth Low Energy (BLE) beacons within a smart environment.
- Implementing a fuzzy logic system to process and interpret Received Signal Strength Indicators (RSSI).
- Conducting a comparative case study against a non-fuzzy logic approach.
Main Results:
- The proposed fuzzy indoor location methodology achieved an accuracy of 91.63%.
- This represents an approximate 10% improvement over the non-fuzzy logic approach.
- Demonstrated the effectiveness of fuzzy logic in handling imprecise RSSI data.
Conclusions:
- Fuzzy logic significantly enhances the accuracy of indoor location systems for elderly monitoring.
- The UJAmI Location system provides a practical application of this fuzzy methodology.
- The proposed system offers a reliable solution for improving elderly care quality and safety.
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