One measurement engine, many missions
Every system builds on the same foundation: an individual physiological baseline.
Fusion
Simulator-testedA real-time pipeline that fuses ECG with camera-based facial analysis to estimate operator state and issue intervention recommendations, with per-person calibration.
VIAW-HRV
Demonstrated liveTrimodal ECG/HRV, voice, and facial state detection for human–autonomy teaming. Demonstrated live at DAFMSAS 2026 for pilot–autonomous wingman teaming. Proposed to the Navy as READINESS TWIN for in-sortie monitoring and between-sortie readiness trajectories.
Adaptive Transparency
Interface adaptation driven by cognitive load. It calibrates how much an AI explains to what the operator can absorb, helping sustain appropriate trust.
Physiological Digital Twins
PublishedExecutable models of individual and crew physiological trajectories for training optimization and pre-deployment evaluation. See the papers →
NA-HAT
A human–AI teaming framework with individually calibrated support that broadens the pool of qualified operators.
DISORIENT
ConceptA wearable spatial-disorientation recovery aid for aircrew, developed in response to a need aircrew raised.
PRIVATE
Patent pendingDeployable acoustic-privacy capability for sensitive environments. U.S. provisional patent filed.
Personal insight, wherever people and technology work together
When a person's state is expressed in the shape of their physiology, every system that relies on population averages gains a powerful new source of insight. A person-referenced measure can make alerts more meaningful and support more timely across many fields.
Individual readiness
Workload, fatigue, and disorientation risk in training, read against each aviator's own normal rather than a fleet average.
Crews of a few
With small, isolated crews, each person becomes their own reference, building a richer picture over months of operation.
Alerts that matter
Person-referenced alerts could help clinicians focus on the moments that truly need attention, easing alarm fatigue.
Driver state & handover
Personal baselines could help recognize drowsiness and overload, and support smoother, safer handovers between drivers and semi-autonomous vehicles.
Control rooms & first responders
For shift workers, operators, and responders, the signal helps distinguish a productive, busy shift from real overload.
Adaptive learning
Simulation-based training that adjusts difficulty and feedback to the learner's actual state, so every trainee progresses at their best pace.
Fair by design
A personal baseline celebrates individual differences, making the technology inclusive from the start.
Stress, on your own terms
Tracking stress and recovery relative to a person's own normal, building on our published digital-twin research.
Beyond the generic score
Turning data from devices people already own into personal, meaningful insight.
Whenever an AI teammate, an alarm, or an interface has to decide whether to interrupt, a signal calibrated to the individual can make that decision more accurate, fairer, and easier to trust.These are exciting directions for the finding. Each application will be developed with its own testing and validation.
Let's work together
For government program managers, prime contractors looking for teaming partners, and research collaborators.