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Operationally Modulating Neurophysiological Interface for Extended Reality (OMNI Cog XR)

Completed TRL 3 (started at 3, targeting 4)

Description

Astronauts encounter numerous cognitive and physiological challenges from the unique environment encountered during spaceflight. These challenges can significantly impact their health and performance throughout the duration of their missions. Cognitive challenges include altered sensory perceptions, disrupted circadian rhythms, and increased cognitive workload due to the demands of managing complex mission tasks confined spacecraft environment. Additionally, microgravity can lead to physiological alterations affecting astronauts' physical health and functioning. Artificial Intelligent Agents, monitoring these crewmember conditions and tailoring human computer interfaces, including XR platforms, might be utilized to better manage crewmember health an increase mission performance where operator decrements are detected. We propose the development of a portable, lightweight platform that can integrate cognitive/physiological monitoring sensors, and/or application-based measures of the same into an efficient data management and processing system (AI/ML) with dynamic two-way integration with XR systems (capturing camera or other data from HMD as well as sending real-time data to one or more HMDs). The innovative aspects of this system will be true multimodal data fusion (cognitive, physiological, and visual along with environmental telemetry) and analysis resulting in concise informational display and/or modulation of information presented to respective crewmembers based upon their KSA or operational state during task execution. Additionally, we propose the first “team” based XR applications, providing unique content and function depending on a specific crewmember’s role in tasks. To achieve this functional goal, we are partnering with medical and neurophysiological experts at UT Austin Dell Medical School to utilize their clinical expertise and existing, non-invasive cognitive/physiological monitoring platform funded by NIH and currently deployed in clinical trials.

Benefits

Spacecraft Interface Design: Engineers can optimize control panels, displays, and user interfaces to minimize mental strain during critical tasks. Mission Planning and Execution: Assessing cognitive workload ensures that mission-critical activities are manageable. Training and Skill Development: Enhance crew readiness and performance. Health Monitoring and Well-Being Automation and Decision Support: Dynamically adjust workload based on real-time demands, ensuring efficient collaboration between humans and automation. Human-Robot Interaction: Workload-aware robot control algorithms can adapt to crew needs, improving mission efficiency. Safety and Error Prevention The applications for OMNI Cog XR outside of NASA are numerous. There is significant interest in Ai enabled training and just in time support technologies utilizing XR by US Special Forces Medical Command, NATO, USAF and the Special Operations Medical Society. Additionally, we have entered into discussions with Axiom Space to test and possibly fly AI medical Agents in development by Tietronix for NASA. Finally, significant non-government opportunities exist for terrestrial training where XR might be employed and the need for user-state-adaptive functionality is desired. Examples of these are medical skills training simulators for hospitals and allied health sciences organizations who are currently struggling to educate, train and validate the skills of clinicians and their support staff due to significant personnel and training mentor shortages.

Details

Technology areaSoftware, Modeling, Simulation, and Information Processing
ProgramSmall Business Innovation Research/Small Business Tech Transfer (SBIR/STTR)
Lead organizationJohnson Space Center, Houston, TX
Start date2024-08-07
End date2025-09-08

Project contacts

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