AlpineShield: Advanced Smart Jacket for Mountaineer Safety
Smart jacket is an application designed to ensure the safety of mountaineers by continuously monitoring vital signs and environmental parameters in real time so that climbers can proactively manage their health and respond effectively to changing conditions. This work presents the development and evaluation of a smart jacket designed for mountain climbers, addressing the critical challenges of safety, environmental monitoring, and real-time communication in high-altitude terrains. The jacket integrates a network of embedded sensors to monitor vital signs, ambient temperature, and altitude, while incorporating Global Positioning System (GPS) module for real time location tracking and emergency alerts. The system aims to enhance climber safety through continuous health assessment and reliable connectivity in remote mountain environments. All biomedical and environmental sensors interact through the Espressif Systems Platform 32-bit (ESP32) module along with various sensors which offers a promising solution to address the challenge faced by them. The integration of GPS and Nordic Radio Frequency (NRF) modules facilitate communication and location tracking, allowing climbers to stay connected with support teams and receive assistance in case of emergencies. The jacket model design also plays a major role with its removable unique mini compartments for all hardware components. By providing this innovative solution which utilizes real time monitoring data, mountain climbers can mitigate risks, optimize their performance, and enjoy a safer and more fulfilling climbing experience amidst challenging environments.
Authors
- Amitha M Das
- Lekshmi Vijayan (ORCID: https://orcid.org/0000-0002-3018-2170)
- Pravin Kumar Sah
- Lakshmi Jayan
- R R Gaayathri
Institutions
- Amrita Vishwa Vidyapeetham (IN)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/icict64420.2025.11004707
- Citations
- 1
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.68
Funders
- Amrita Vishwa Vidyapeetham University