Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180
Analysis
This article discusses the potential of training AI to understand human body language. It highlights the work of Hanbyul Joo, a PhD student at CMU, who is developing the "Panoptic Studio," a multi-dimensional motion capture system. The focus is on capturing human behavior to enable AI systems to interact more naturally. The article also mentions Joo's award-winning paper on 3D deformation models for tracking faces, hands, and bodies, indicating a technical approach to the problem. The core idea is to bridge the gap between human interaction and AI understanding.
Key Takeaways
- •The article explores the use of motion capture technology to train AI on human body language.
- •Hanbyul Joo's research focuses on creating AI systems that can understand and react to human behavior more naturally.
- •The "Total Capture" paper suggests a technical approach to modeling and tracking human movements for AI understanding.
Reference
“Han is working on what is called the “Panoptic Studio,” a multi-dimension motion capture studio used to capture human body behavior and body language.”