At the foundation of intelligent simulation is a physics-based character model. We call this model our Simulation Rig (or SimRig), which, when configured to a character asset, transforms a typical 3D file into a digital, biomechanical body. The SimRig maps physical attributes to the character
Our demos are often designed to show how intelligent simulation can synthesize even the most complex physical skills—from creating digital Basketball players to simulated stunt men. However, our most recent experiment focuses on simulating something more subtle: body language. Specifically, argumentative gesturing in a multi-character scenario.
Each of the
Physical character interaction is hard to fake–whether it’s between two in-world characters, between users and characters, or between a character or avatar and its environmental surroundings. Nevertheless, interaction is central to user-driven storytelling and building immersive VR and AR experiences that suspend disbelief.
Top tier Basketball players exhibit powerful upper body dexterity, lower body agility, and mastery of ball coordination. When training physically simulated characters basketball skills, these competing talents must also be held in balance. While AAA
This blog post will serve as an introduction to one of the multiple procedural animation methods supported by DeepMotion Avatar: procedural animation for various character standing movements via C# scripting in the Unity editor.
Now that you have constructed a physically simulated character that can stand in-place, self-balance, and walk