Predefined configuration presets to get you started (10+ are free, even more can be unlocked) Highly configurable fluid behaviour and look Please note: this is NOT a live wallpaper. KEEP YOUR KIDS BUSY - they love to doodle and watch the fluid move around! We hope that Magic Fluids can also help children with anxiety, autism and sensory issues. If you like abstract digital art or acrylic pour painting, you'll love Magic Fluids! You can create impressive eye-catching designs that look like swirls, galaxies, liquid, fire, light, smoke, lava and much more! GET CREATIVE and, with a touch of your finger, bring to life stylish patterns of paint and particles. Magic Fluids will help you sleep, meditate, restore balance, relieve stress and anxiety. ![]() TOUCH THE SCREEN and enjoy hypnotizing motion of fluid swirls moving around, sometimes slow, quiet and elegant, other times dynamic, satisfying and trippy.ĬALM DOWN AND RELAX as you draw and watch peaceful flows evolve in space and eventually settle down into colorful patterns. It is based on algorithms of fluid flow simulation and features fluid (pun intented!), beautiful graphics. Magic Fluids Lite is a relaxing, colorful fluid simulation app that will help you calm down and relieve stress, or be creative and make aesthetic digital art. We may be able to transmit the movement of water over the internet in real time so that even those far away can experience the same lifelike water motion.Touch and simulate this magical fluid substance to get calm, trippy and creative! Gorgeous visual effects give a out of this world feel. "This technology will enable the creation of VR games where you can control things using water and actually feel the water in the game. ![]() Kitamura stresses that the technology will make VR more immersive and improve online communication. Thanks to the developed magnetic motion capture and flow reconstruction technique, real-time 3D flow measurement is now possible. But it still remained difficult to measure 3D flow in real-time, especially when the liquid was in an opaque container or was opaque itself. Previous techniques had typically tracked tiny particles suspended inside the liquid with cameras. The computer then refines the way of pushing via deep reinforcement learning. Then, they made each buoy act like a force that pushes the simulated liquid, making it flow like real liquid. Deep reinforcement learning combines reinforcement learning with deep neural networks to solve complex problems.įirst, the researchers used a computer to simulate calm liquid. A computer performs actions, receives feedback (reward or punishment) from its environment, and then adjusts its future actions to maximize its total rewards over time, much like a dog associates treats with good behavior. Reinforcement learning is the trial-and-error process through which learning takes place. "We overcame this by combining a fluid simulation with deep reinforcement learning to perform the recovery," says Yoshifumi Kitamura, deputy director of RIEC. The crucial step involved finding an innovative solution to recovering the detailed water motion from the movement of a few buoys. The movement of each buoy could then be tracked using a magnetic motion capture system. To collect flow data, the group - which comprised researchers from Tohoku University's Research Institute of Electrical Communication (RIEC) and the Institute of Fluid Science - placed buoys embedded with special magnetic markers on water. ![]() The technology opens up the possibility for virtual reality interactions involving water.ĭetails of their findings were published in the journal ACM Transactions on Graphics on September 17, 2023.Ĭrucial to the breakthrough was creating both a flow measurement technique and a flow reconstruction method that replicated agitated liquid motion. Replicating this agitated liquid motion, as it is known, allowed them to recreate water flow in real time based on only a small amount of data from real water. Now, a research team from Tohoku University has harnessed the power of deep reinforcement learning to replicate the flow of water when disturbed.
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