Networked Hand Tracking in Unity using Meta Building Blocks and Photon Fusion - Full Tutorial

[@PierrePark]

Thanks so much, was exactly what I was looking for and worked perfectly!

[@kishorgenius]

The latest version has XRHands and I followed your tutorial with the older hands and they didnt work. I tried the same with XR hands and that didn't work either. I can see the head but not the hands no matter what. Please help

[@AntonioOlia]

Hi... I followed every step of the video, I'm trying to create a multiplayer game with the meta building block... I'm only missing the networking part but how am I going to run a build on 2 devices they don't communicate with each other ...I don't know if it was due to some error on my part or if some passage is missing in the video...

[@firedragongamestudio]

you can try in editor with play mode if the app is connecting at all. otherwise your photon setup may be faulty.

[@rinwong5153]

Hello, Thank you very much for your tutorial video. However, I have encountered an issue. I followed your steps, and when I completed the C# code you provided, the debug message stated that "The type or namespace name 'HandVisual' could not be found." Could you please advise me on how to resolve this issue? I appreciate your time in reviewing my question and hope you can help me. Thank you!

[@firedragongamestudio]

Make sure to add using Oculus.Interaction; to the using statements, then HandVisual should become available.

[@ankeshsuryan]

Thankyou for the detailed video. It helped me a lot in tracking multiplayer hands. I am facing hand joints scaled randomly and streched which is looking very weird. Followed each step correctly. Can you please upload the project files share the project. Thankyou

[@firedragongamestudio]

I'd say you messed up the order of hand joints. Make sure they are the same as the original hands.

[@ankeshsuryan]

@@firedragongamestudio Thankyou for the reply.. I had exactly used the same order of joints. It worked for me when i clicked sync parent Checkbox in each of the Network Transform of the finger data. Thankyou once again for the video ..