Live Link Face Motion Capture Made Easy! | Unreal 5 Quickstart Guide for Indie Animators

#animation #unrealengine #metahuman #livelink
In this episode, I’ll show you how to quickly set up Live Link Face Motion Capture in Unreal Engine 5. From starting a new project to syncing the app, recording animations in the Sequencer, and exporting your work for later use, this guide will get you up and running in no time.
🔥 What You’ll Learn:
How to set up a new Unreal project.
Connecting the Live Link Face app for real-time motion capture.
Recording face animations with Sequencer.
Exporting your animations for reuse.
This is a quick and easy guide designed for indie animators who want to bring characters to life with minimal setup. Let’s get started! 🚀
LiveLink app (iPhone Only):
apps.apple.com...
UE Android Face Live Link: (I don't know if it works)
github.com/jus...
Face_Landmark_Link (Any video/Any source, but only works well in Blender)
github.com/Qaa...
SmallRig Universal Smartphone Video Rig for iPhone (iPhone tripod cage)
a.co/d/5Q8QWuf
Nycetek Webcam Tripod Stand for Desk
a.co/d/0AZzvGl

[@SimonePixel]

I figured out the issue near the end of this stream, where I was experimenting with blending the facial MoCap from Live Link with the UE 5.5 Audio2Face Lipsync performance capture. I had baked the expressions to the ControlRig and attempted to additively blend the lipsync but encountered a conflict. Deleting the jaw and mouth keys was a good start, and I also zeroed out the jaw track position. However, I overlooked zeroing out the mouth tracks. As a result, even though there were no competing mouth keys, the tracks still had residual values, causing the system to blend the lipsync with a fixed open-mouth position. See my Discord for the final result. discord.gg/47wrAUUAUC
I'll do a tutorial on layering animations when I feel I have enough experience for it to be useful to people.

[@ip2]

I went to school for this, you’re a better teacher than 75% of the professors I came into contact with. Great job 👍

[@SimonePixel]

Thank you so much! That really means a lot!