Author:
Dr. Basavaraj G Kudamble ,G Naveena ,G Naveena ,L Vidya ,K Vijay ,C Manoj ,T Venkata Prasad
Abstract
The Soldier Health and Position Tracking System (SHRYS) is an integrated technological solution designed to address the multifaceted challenges associated with monitoring and ensuring the well-being of military personnel in dynamic and unpredictable operational environments. This system amalgamates state-of-the-art wearable devices, GPS technology, and health monitoring sensors to provide comprehensive real-time insights into soldiers' physical conditions and locations. The wearable devices continuously collect vital health metrics such as heart rate, body temperature, and activity levels, fostering a proactive approach to healthcare management. Simultaneously, the GPS technology enables precise and continuous tracking of soldiers' positions on the battlefield. The collected data is then transmitted to a centralized monitoring system, where advanced analytics and machine learning algorithms assess soldiers' health trends, detect anomalies, and facilitate timely medical interventions. The SHPTS aims to enhance the overall situational awareness of military commanders, optimize resource allocation, and ultimately ensure the optimal health and safety of soldiers deployed in challenging and high-risk scenarios. This innovative system stands at the forefront of leveraging technology to safeguard the well-being and operational effectiveness of military personnel.
Reference10 articles.
1. "IOT BASED HEALTH AND POSITION TRACKING SYSTEM FOR SOLDIER SECURITY SYSTEM" rajitha m, s. madhav rao 1. vol 13,issue 06, june, 2022, issue no: 0377-9254
2. Teja, Krishna, et al. "Smart Soldier Health Monitoring System Incorporating Embedded Electronics." Advances in VLSI and Embedded Systems. Springer, Singapore, 2021. 223-23
3. Jethwa, Bhargav, et al. "Realtime soldier's health monitoring system incorporating low power LoRa communication." International Journal of Sensor Networks 35.4 (2021): 221- 229.
4. Kavitha, D., and S. Ravikumar. "IOT and context-aware learning-based optimal neural network model for real-time health monitoring." Transactions on Emerging Telecommunications Technologies 32.1 (2021): e4132.
5. D. Poornakumar, R. Periyanayaki, M. R. Pradheepa, N. Prakashkumar and S Nandhini "Soldiers Navigation and Health Monitoring System using GPS and GSM", Intemational Journal of Research in Engineering Science and Management, Volume No: 3, Issue: 4,pp: 115-158,April-2020.