Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human-Robot Architecture for Search and Rescue.

Area of Science:

• Biomedical Engineering
• Human-Computer Interaction
• Disaster Response Technology

Background:

• Emergency responders face physically demanding roles, necessitating safe and effective operations.
• Real-time monitoring of responder well-being is crucial in high-stress disaster scenarios.
• Existing systems lack integrated solutions for monitoring physiological stress and fatigue in real-time.

Purpose of the Study:

• To propose and evaluate a real-time bio-signal sensor monitoring system for emergency responders during disaster scenarios.
• To integrate health monitoring sensors into an Internet of Cooperative Agents architecture for search and rescue (SAR) missions.
• To assess firefighter acceptance and the performance of wearable sensor technology.

Main Methods:

• Development of the Search and Rescue Internet of Cooperative Agents (SAR-IoCA) architecture.
• Integration of bio-signal sensors to detect stress, anxiety, and physical fatigue.
• Proof-of-concept experiments with firefighters during high-fidelity SAR exercises.
• End-user survey to gather opinions on biological signal monitoring.

Main Results:

• Successful proof-of-concept experiments demonstrating sensor suite functionality in realistic SAR scenarios.
• Valuable user feedback on the acceptance and practicality of wearable sensors for emergency workers.
• Identification of key design considerations for user-friendly, integrated sensor garments.

Conclusions:

• The proposed wearable sensor suite and SAR-IoCA architecture offer a viable solution for real-time responder monitoring.
• User acceptance and practical design are critical for the successful implementation of such technologies.
• This technology has the potential to enhance safety and effectiveness in disaster response operations.