Summary of Pose: Pose Estimation Of Virtual Sync Exhibit System, by Hao-tang Tsui et al.
POSE: Pose estimation Of virtual Sync Exhibit system
by Hao-Tang Tsui, Yu-Rou Tuan, Jia-You Chen
First submitted to arxiv on: 20 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This portable MetaVerse implementation uses 3D pose estimation with AI to create synchronized virtual avatars that interact with their environment. By leveraging pose estimation to track human movements, this platform eliminates the need for joysticks and sensors in fitness ring applications. The system’s modular design reduces latency through multi-processing, enabling seamless control of virtual avatars. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This innovative project lets people control virtual characters using just their body movements. Instead of using special controllers, you can simply wear a device that tracks your poses and uses AI to make the avatar do the same actions in a virtual world. This makes it easier and more fun to play games or work out with friends online. |
Keywords
» Artificial intelligence » Pose estimation
