N. Barua, T. Hutter
The University of Texas at Austin, Texas, United States
Keywords: Respiration, sensors, health, performance training
Our project introduces a smart breath monitoring and training system designed to measure respiratory health during physical activity by integrating advanced sensors and AI-driven algorithms. This compact, portable, and non-invasive device aims to monitor key respiratory metrics in real-time, such as inspiratory and expiratory flow rate, tidal volume, vital capacity, end-tidal oxygen (O2) and carbon dioxide (CO2) levels, heart rate, and blood oxygenation. Maintaining steady respiratory and cardiovascular health in high-stress situations ensures peak performance and prevents exhaustion or injury. The lightweight, sensor-integrated mask will provide real-time feedback on physiological conditions, enabling military personnel to make data-driven decisions regarding soldier endurance and overall physical readiness. The device's adaptive training features can provide personalized training regimens based on their physiological responses to physical activities. Continuous, regular, and detailed respiratory health insights can also help reduce the risk of fatigue, injury, or long-term health complications in challenging operational settings. In this poster, data collected using the mask during box breathing and physical activity will be presented and discussed.