QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars. (arXiv:2209.09391v1 [cs.CV])

Real-time tracking of human body motion is crucial for interactive and
immersive experiences in AR/VR. However, very limited sensor data about the
body is available from standalone wearable devices such as HMDs (Head Mounted
Devices) or AR glasses. In this work, we present a reinforcement learning
framework that takes in sparse signals from an HMD and two controllers, and
simulates plausible and physically valid full body motions. Using high quality
full body motion as dense supervision during training, a simple …

arxiv avatars human sensors tracking