Training for high stress, measured on the body.
DEFSENSE is our synthetic training environment for armed forces, police and emergency services. Trainees go through VR and AR scenarios built in Unreal Engine while their body signals and behaviour are recorded and analysed for the instructors. R&D funded by CDTI with NextGenerationEU.
Six training scenarios cover the three sectors, from a hostage rescue for the armed forces to an undercover operation for the police and a car accident for emergency services, built from 360 footage, motion capture and 3D. Heart rate, heart rate variability, skin conductance, blood oxygen, temperature, grip pressure and brain activity are recorded live, partly by RAVEN, our own sensor board in the replica weapon. Instructors follow it on a monitoring panel with stress curves, heatmaps and a timeline of critical events, so they see how each trainee responded under pressure, not only what they did.
Build
Each exercise is a scenario of its own, built from 360 footage, motion capture and 3D.
Experience
Trainees go through VR and AR scenarios built in Unreal Engine: a hostage rescue, an undercover operation, a car accident and more.
Monitoring
Heart rate, heart rate variability, skin conductance, blood oxygen, temperature, grip pressure and brain activity are recorded in real time, partly by RAVEN, our sensor board in the replica weapon.
Evaluation
Rules and AI models turn the data and the behaviour into stress curves, heatmaps and a timeline of critical events for the instructors.
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defsense.ai ↗
