Pilot Physiology Based Autonomous Life Support System (Air Force)

Abstract

This project will integrate and test a Pilot Physiological Monitoring and Warning System (PPMAWS) with a new digital breathing regulator that incorporates machine learning to autonomously control the flow of oxygen to military aircraft. This project will also evaluate an off-the-shelf Pilot Breath Monitoring System (PBAM) currently in use with the Finnish Air Force, which requires no aircraft modification. These technologies could assist in preventing in-flight hypoxia, hypocapnia, and hyperoxia events currently experienced by pilots, improving flight safety, and aircraft availability. This project supports DoD's Artificial Intelligence/Machine Learning (AI/ML) focus area. If successful, the PBAM will be available for immediate fielding and the PPMAWS will transition to follow-on flight testing which is beyond the scope of this project. Test articles received, integrated into a flight helmet, and bench testing completed in 2Q FY 2019. Performance testing occurs throughout FY 2020 with FY 2019 funds. PM will make a transition decision and close-out report will be completed in 4Q FY 2020.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
a926f621e9f757c84bd77951760ad4c9

Tags

Readers

  • Aerospace Test and Evaluation
  • Aviation Safety Risk Assessment.
  • Military Science and Technology Research and Modernization.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

Related Documents