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Digital Twin of the Human Body

Using Immersive Technologies (AR/VR) and IoT Sensors

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Abstract

  • Digital Twin combines real-time health data with immersive visualization.
  • Project integrates IoT sensors, VR/AR, and AI-powered analytics.
  • Supports real-time monitoring, diagnostics, and remote consultations.

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Project Objectives

  • Develop a digital twin for real-time health monitoring.
  • Use VR/AR for immersive visualization.
  • Enable predictive diagnostics using AI.
  • Support remote medical assessments.

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Key System Features

  • Real-time 3D model updated with IoT sensor data.
  • AI-driven health predictions and recommendations.
  • User-friendly interface in VR/AR.
  • Secure data handling and privacy controls.

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Target Users and Use Cases

  • Patients: View health data and receive alerts.
  • Healthcare Providers: Monitor patients and give consultations.
  • Researchers: Analyze health trends and run simulations.

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System Design Overview

  • Digital Twin component visualizes 3D human model.
  • IoT devices capture physiological metrics (e.g., HR, SpO2).
  • AI Analytics engine interprets data and predicts risks.
  • Security module protects sensitive information.

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User Interface Design

  • Patient Dashboard with interactive 3D twin.
  • Healthcare Panel for remote monitoring.
  • Researcher View with anonymized data analytics.

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System Sequence

Diagram

User interacts with the system through the VR/AR interface.

IoT devices continuously collect real-time health data.

Data is sent to Digital Twin system for processing.

The AI module analyses the data to detect health trends or risks.

Results are updated in the 3D model and shown back to the user

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Conclusion

  • Digital Twin offers innovative health monitoring.
  • Immersive tech enhances user engagement.
  • Supports early detection and preventive care.
  • Future work: prototype development and testing.