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A Web-Based Cloth Simulation for Learning-Based Gesture-Controlled Wind Interaction

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HandWind-Sim++


  • 📄 Korea Society of Computer and Information (KSCI) Conference 2026
    "A Web-Based Cloth Simulation for Learning-Based Gesture-Controlled Wind Interaction"

HandWind-Sim++ is a web-based interactive system where cloth and wind fields respond in real time to a user’s hand gestures.

Offline Training (AI part) 🧠

  • Hand gesture video capture
  • Asynchronous gesture–cloth data collection
  • Vector field extraction from cloth motion
  • K-Means clustering → representative wind field templates
  • LSTM training to predict template weight distributions from hand motion
handwind-sim++_fig3

Real-Time Inference & Simulation (Web part) 🖥️

  • Continuous hand gesture input
  • LSTM-based inference → template probability weights
  • Weighted blending of precomputed wind field templates
  • Application to WebGL-based fluid and cloth simulation
  • Real-time visualization via WebSocket
handwind-sim++_fig5

Demo video (Click!)

Demo Video

Fluids-2D References

  1. Jos Stam. Stable Fluids. In Proceedings of SIGGRAPH. 1999.
  2. Jos Stam. Real-Time Fluid Dynamics for Games. Proceedings of the Game Developer Conference. 2003.
  3. Mark Harris. Fast Fluid Dynamics Simulation on the GPU. In GPU Gems: Programming Techniques, Tips, and Tricks for Real-Time Graphics (Chapter 38). 2004.

Cloth Simulation References

  1. Müller, Matthias, Bruno Heidelberger, Marcus Hennix, and John Ratcliff. "Position based dynamics.“ 2007

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