This entity develops a PC-based serious game designed to train emergency responders in stress resilience during mass casualty incidents (MANV). The simulation exposes users to realistic stressors while teaching triage algorithms and stress reduction techniques. The platform integrates performance analysis and biophysiological feedback to enhance cognitive performance under pressure.
Funding
Funding not disclosed
Founders
Product
Problem
Emergency responders must make rapid, accurate triage decisions during mass‑casualty incidents (MANV) while operating under extreme psychological pressure. Conventional training methods lack realistic stress exposure and objective measurement of stress responses, limiting the development of stress resilience and procedural consistency.
Solution
The STRESS platform delivers a PC‑based serious game that immerses users in high‑fidelity MANV scenarios built with the Unreal Engine. Integrated biosensor chest straps capture physiological stress markers (heart rate, skin conductance) in real time, enabling adaptive stress‑induction and personalized feedback. The simulation presents a curated set of stressors—time constraints, resource scarcity, panicking teammates, and threat cues—to replicate operational pressures. Users practice established triage algorithms (BayVA, mStart, PRIOR, TST, tacSTART) through interactive mini‑games that require identification of over 30 injury patterns across diverse patient avatars. Automated performance analytics generate heatmaps, log files, and algorithmic error reports, while psycho‑educational videos teach evidence‑based stress‑reduction techniques, supporting both knowledge acquisition and resilience building.
Target Audience
Primary users are emergency medical services (EMS) personnel, fire‑rescue teams, and disaster‑response training institutions that require realistic, measurable training for mass‑casualty triage and stress resilience. The platform also serves civil‑defense academies and humanitarian aid organizations preparing responders for high‑stress incident management.
Features
- Unreal Engine‑powered 3D environments with dynamic visual and auditory stress cues
- Real‑time physiological monitoring via chest‑strap biosensors (HR, GSR) for stress quantification
- Adaptive scenario engine that modulates stressor intensity based on user performance
- Support for multiple triage protocols (BayVA, mStart, PRIOR, TST, tacSTART) with algorithmic validation
- Over 30 clinically validated injury models and 20+ patient avatars (varying age, body type, injury severity)
- Mini‑game interventions for critical procedures (tourniquet application, airway management, hemorrhage control)
- Automated analytics suite delivering heatmaps, error classification, and longitudinal performance dashboards
- Integrated psycho‑educational modules delivering stress‑reduction exercises and debriefing videos