Implementation of Indoor Positioning System for Monitoring Geriatric Syndrome Patients Based on Bluetooth Low Energy
DOI:
https://doi.org/10.30630/jeccom.2.2.68-76.2024Keywords:
Indoor Positioning System, Bluetooth Low Energy, Trilaterasi, ESP32, RSSI, MQTTAbstract
Health issues commonly faced by the elderly include geriatric syndromes. The impact of these syndromes on older adults can lead to instability (disruption of balance, making them prone to falls) and intellectual impairment. Because of these concerns, monitoring is essential for individuals experiencing geriatric syndromes to prevent symptoms from worsening due to falls. As technology advances, object tracking systems using Global Positioning System (GPS) have developed significantly. However, GPS tracking systems are primarily suitable for outdoor tracking. Thus, there is a need for a method capable of detecting individuals with geriatric syndrome indoors and providing alerts if they fall. This study proposes a multi-room monitoring system for patients with geriatric syndrome to mitigate the adverse effects of falls by implementing an Indoor Positioning System (IPS) that utilizes Bluetooth Low Energy (BLE) technology and gyroscope sensors for fall detection. The proposed IPS employs BLE technology using the trilateration method. The ESP32 module is selected as the reference point for scanning BLE signals, measuring signal strength (RSSI), and transmitting data to a server for further processing via the Message Queuing Telemetry Transport (MQTT) protocol. The result of the test carried out during indoor conditions showed an average deviation in the x-cordinate of 0.28 meters and y-cordinate of 0.27 meters from the patients actual location.
References
P. Elfert, S. Siggelkow, M. Eichelberg, and A. Hein, “Towards an Ambient Estimation of Stool Types to Support Nutrition Counseling for People affected by the Geriatric Frailty Syndrome,” in 2020 IEEE Symposium on Computers and Communications (ISCC), IEEE, Jul. 2020, pp. 1–6. doi: 10.1109/ISCC50000.2020.9219713.
P. Elfert, S. Siggelkow, M. Eichelberg, and A. Hein, “Towards an Ambient Survey of Consumption Quantities to Support the Nutrition Counseling Process for People affected by the Geriatric Frailty Syndrome,” in 2020 IEEE International Conference on Healthcare Informatics (ICHI), IEEE, Nov. 2020, pp. 1–10. doi: 10.1109/ICHI48887.2020.9374331.
P. Elfert, E. Tiryaki, M. Eichelberg, N. Rosch, and A. Hein, “A Deep Learning Assisted Digital Nutrition Diary to Support Nutrition Counseling for People Affected by the Geriatric Frailty Syndrome,” in 2021 IEEE Symposium on Computers and Communications (ISCC), IEEE, Sep. 2021, pp. 1–7. doi: 10.1109/ISCC53001.2021.9631394.
F. A. Rahul Ranjan et al., “Improving Indoor Positioning Systems with UWB and Filtering Techniques: A ComparativeAnalysis,” in 2023 23rd International Conference on Control, Automation and Systems (ICCAS), IEEE, Oct. 2023, pp. 1133–1136. doi: 10.23919/ICCAS59377.2023.10316857.
A. Magdy, S. Ibrahim, A. H. Khalil, and H. Mostafa, “Low Power, Dual Mode Bluetooth 5.1/Bluetooth Low Energy Receiver Design,” in 2021 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, May 2021, pp. 1–5. doi: 10.1109/ISCAS51556.2021.9401748.
M. Harada et al., “20-µs Accuracy Time-Synchronization Method using Bluetooth Low Energy for Internet-of-Things Sensors,” in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), IEEE, Jan. 2022, pp. 181–186. doi: 10.1109/CCNC49033.2022.9700687.
P. Dangkham and W. Wannasawaskul, “Multi-Value Learning Rate Approach for Indoor Real-Time Localization with Bluetooth Low Energy,” in 2024 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), IEEE, Aug. 2024, pp. 95–99. doi: 10.1109/RI2C64012.2024.10784398.
I. Dervisoglu and U. Yavanoglu, “Security Threats and Performance Evaluation of Ultra Wideband and Bluetooth Low Energy Technologies for Indoor Positioning,” in 2021 International Conference on Information Security and Cryptology (ISCTURKEY), IEEE, Dec. 2021, pp. 22–27. doi: 10.1109/ISCTURKEY53027.2021.9654342.
S. Parkhi, K. Karande, and S. C. Rajpurohit, “Equipment Monitoring In Manufacturing using Bluetooth Low Energy (BLE),” in 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), IEEE, Feb. 2024, pp. 1–5. doi: 10.1109/ICIPTM59628.2024.10563609.
C. N. Capotă, M. Popescu, S. Halunga, and O. Fratu, “Challenges In Spoofing Bluetooth Low Energy Devices In An IOT Environment,” in 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE, Jun. 2023, pp. 1–5. doi: 10.1109/ECAI58194.2023.10193980.
Á. De-La-Llana-Calvo et al., “Evaluation of the accuracy and precision of orientation determination in an indoor positioning system using infrastructure illumination and PSD sensors,” in 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, Nov. 2021, pp. 1–6. doi: 10.1109/IPIN51156.2021.9662517.
Y.-F. Huang, S.-W. Chang, and Y.-H. Sheu, “Performance of Adaptive Offset Cancellation Method for UWB Indoor Positioning System,” in 2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), IEEE, Jul. 2023, pp. 589–590. doi: 10.1109/ICCE-Taiwan58799.2023.10226622.
M. Madleňák and E. Skýpalová, “Experimental Testing of Received Signal Strength in Indoor Positioning System,” in 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE, May 2024, pp. 1–4. doi: 10.1109/HORA61326.2024.10550904.
H. Neyaz, M. Inamullah, and M. M. S. Beg, “Machine Learning Based Indoor Positioning System Using Wi-Fi Fingerprinting Dataset,” in 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, IEEE, Jul. 2024, pp. 1–5. doi: 10.1109/ICECET61485.2024.10698116.
F. M. Wibowo and D. F. H. Permadi, “Comparison of Three Border Positioning (TBP) and Least Square Estimation (LSE) Algorithm Towards Indoor Positioning System (IPS),” in 2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), IEEE, Nov. 2023, pp. 629–634. doi: 10.1109/COMNETSAT59769.2023.10420472.
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