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sHUMAN DIGITAL TWIN
What is a Human Digital Twin?
A Human Digital Twin is a dynamic, data-driven virtual model of a person that continuously updates using real-world data.
It represents:
- Physical state (biometrics, health)
- Cognitive state (focus, fatigue, decision-making)
- Behavioral patterns (habits, routines)
- Environmental interactions (sleep, work, stress)
Think:
Not a profile → but a living simulation of a human system
SELECT SIZE
Why Build It?
Core Value
- Predict outcomes before they happen
- Optimize performance (mental + physical)
- Detect risk early (burnout, illness)
Real Use Cases
- Health → early disease detection
- Sports → performance optimisation
- Finance → decision modelling under stress
- Work/Productivity → cognitive load balancing
- Longevity → lifestyle simulation
SELECT COLOUR
System Architecture
A production HDT has 5 layers:
1. Data Layer
2. State Engine (Core Twin Model)
3. AI Layer
4. Simulation Engine
5. Interface / Dashboard
SELECT NUMBER
Example Insight Engine
if sleep < 6:
alert = "High fatigue risk"
if stress > 0.75:
alert = "Burnout risk increasing"
if focus < 0.6 and stress > 0.6:
recommendation = "Schedule low cognitive tasks"
