Real-Time Tracking of Personnel Location, Health, and Status with IoT Integration

Abstract

This paper proposes a system that integrates location tracking and health monitoring for individuals using IoT-based devices. The system leverages the capabilities of the Arduino UNO, NodeMCU, MAX30102, DHT11, and other low-cost hardware components to track an individual\'s real-time location and monitor vital health parameters such as heart rate and body temperature. The data collected by sensors is processed by a microcontroller and sent to a mobile application, providing real-time information to authorized users. The system aims to ensure enhanced personal safety, health monitoring, and emergency response, especially for elderly or vulnerable individual.

Introduction

The text discusses the development of a real-time integrated health and location tracking system, motivated by the increasing importance of health awareness and personal safety. Current systems typically separate health monitoring from location tracking, often lacking real-time remote access or affordability.

The proposed solution combines sensors for heart rate, blood oxygen, temperature, humidity, and GPS location into a single platform using Arduino Uno and NodeMCU microcontrollers. Data collected from sensors like MAX30102 (pulse oximeter), DHT11 (temperature/humidity), and NEO-6M GPS module is processed and transmitted via Wi-Fi to an Android app connected to the IoT cloud. This app provides real-time monitoring, alerts for health or location anomalies, and facilitates quick emergency response.

Key components include:

• Arduino Uno for data collection and processing

• NodeMCU for Wi-Fi communication

• MAX30102, DHT11, NEO-6M GPS for sensing

• A 3.7V battery for power

• An Android app for user interface and alerts

The system targets vulnerable populations like the elderly or patients with chronic conditions, offering continuous, accurate monitoring to improve health management and personal safety.

Conclusion

The proposed system integrates real-time location tracking with health monitoring using accessible IoT-based components. By combining these features into a single platform, the system offers enhanced safety and health management. It is cost-effective, easy to implement, and provides real-time information to aid in emergency situations. The use of the Arduino IoT Cloud App ensures that data is always accessible and monitored, improving the likelihood of timely intervention in critical health or safety incidents. This system represents a major step forward in personal health and safety monitoring, with applications in healthcare, personal security, and elderly care. Future enhancements could involve further miniaturization, enhanced battery life, and additional health metrics for comprehensive health monitoring.

References

[1] Heart Beat Sensor Using Fingertip through Arduino P. Srinivasanl, A. Ayub Khan2, T. Prabu3, M. Manoj4, M. Ranjan5, K. Karthik6/ Journal of Critical Reviews (2020), ISSN-2394-5125 Vol 7, Issue 7, P:1058-1060. [2] R.S.Sabeenian, K.R.Kavitha \"Long Term Monitoring of Sleep Disordered Breathing Using IOT Enabled Polymer Sensor Embedded Fabrics\", International Journal of Psychosocial Rehabilitation, ISSN: 1475-7192, 24 & 7093-7010, May 16, 2020. [3] Fernando Seoane, Javier Ferreira, Lorena Alvaretz, Ruben Buendia, David Ayllo\'n, Cosme Llerena and Roberto Gilpita, Sensorized Garments and Textrode-Enabled Measurements Instrumentation for Ambulatory Assessment of the Autonomic Nervous System Response in the ATREC Project, Sensors 13(7), 8997-9015, 2019. [4] P. Kumar, G. Rasika, V.Patil, and S. Bobade, \"Health Monitoring and Tracking of Soldier Using GPS,\" International Journal of Research in Advent Technology, vol.2, no.4, pp. 291-294, Apr. 2019. [5] S. Sharma, S. Kumar, A. Keshari, S. Ahmed, S. Gupta and A. Suri, \"A Real Time Autonomous Soldier Health Monitoring and Reporting System Using COTS Available Entities,\" Second International Conference on Advances in Computing and Communication Engineering (ICACCE), Deharadun-India, May 2018, pp. 683-687. [6] AfefMdhaffar, TarakChaari, Kaouthar Larbi, Mohamed Jamaiel and Bernd Freisleben, IoT Based Health Monitoring via LoRaWAN, International Conference of IEEE EUROCON, vol. 115, no. 89, pp.2567-2953,2018. [7] R. Shaikh,\" Real Time Health Monitoring System of Remote Patient Using Arm7,\" Interna- tional Journal of Instrumentation, Control and Automation (IJICA), vol. 1, no. 3-4, pp. 102-105, 4, 2017. [8] International Institute for Strategic Studies (3 February 2018). The Military Balance 2014, pp. 241-246. London: Routledge. ISB 9781857437225. [9] M.V.N.R. Pavan Kumar, Ghadge Rasika VijayPatil Vidya Adhikrao, Bobade Sonali Vijaykumar- \"Health Monitoring and Tracking of Soldier Using GPS\", International Journal of Research in Advent Technology, Vol.2, No.4, April 2014 E- ISSN: 2321-9637. [10] ShrutiNikam, SupriyaPatil, Prajkta Powar, V.S.Bendre \"GPS Based Soldier Tracking and Health Indication System\", International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Issue 3, March 2013. [11] G. Raj and S. Banu, \"GPS Based Soldier Tracking And Health Indication System With Environmental Analysis\" International Journal of Enhanced Research in Science Technology & Engineering, vol. 2, no. 12, pp. 46-52 Dec. 2013. [12] Hock Beinge Limn \"A Soldier Health Monitoring System for Military Applications\"2010 International Conference on Body Sensor Networks (BSN).

Copyright

Copyright © 2025 PSL Sravani, Rongali Ashok, Chikka Amulya, Malla Hemanth, Shaik Tanveer Ahammad. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.