Throwback to one of our older motion capture experiments at Apple Arts Studios.
This was an early R&D test involving marker placement and capture workflow experimentation for crow movement and creature animation studies.
Interesting to revisit some of the older tests and see how much the workflows have evolved over the years.
More archive experiments coming soon.
I didn't know that motion capture had been used for so many different things, even used as computer graphics. We've come a long way I guess.
Recent high-intensity performance capture test from Apple Arts Studios.
This workflow combines:
• Full body motion capture
• Facial performance capture
• Finger capture
• Combat movement and sword choreography
• Unreal Engine character integration
Focused on building cinematic sequences, game cinematics, MetaHuman workflows, virtual production, and AI-driven performance pipelines.
Always refining workflows and pushing performance capture further.
High-intensity performance capture test from Apple Arts Studios.
Full body capture. Facial performance. Finger capture. Combat movement. Sword action.
Applied directly onto Unreal Engine characters in real time.
We continue pushing workflows across:
• Motion Capture
• Performance Capture
• Virtual Production
• MetaHuman Pipelines
• AI Motion Datasets
From cinematic sequences to game cinematics and AI-driven workflows, performance capture continues evolving far beyond traditional animation pipelines.
#MotionCapture #PerformanceCapture #Mocap #UnrealEngine #MetaHuman #VirtualProduction #GameDevelopment #AIDatasets #HumanMotionData
High-intensity performance capture test from Apple Arts Studios.
Full body capture. Facial performance. Finger capture. Combat movement. Sword action.
Applied directly onto Unreal Engine characters in real time.
We continue pushing workflows across:
• Motion Capture
• Performance Capture
• Virtual Production
• MetaHuman Pipelines
• AI Motion Datasets
From cinematic sequences to game cinematics and AI-driven workflows, performance capture continues evolving far beyond traditional animation pipelines.
#MotionCapture #PerformanceCapture #Mocap #UnrealEngine #MetaHuman #VirtualProduction #GameDevelopment #AIDatasets #HumanMotionData
Animation studios — if you're working with mocap data (cleaning, retargeting, polishing), you know how much time goes into prep and processing.
We just finished a large-scale capture project and wanted to share the workflow since it's relevant to anyone working with motion data.
What we did:
Key insight:
Scale changes everything. One actor, one day = different workflow than 12 actors, 24-hour operations.
At scale, you need:
Most animation studios outsource mocap data. If you're managing large projects and need clean motion data at scale, understanding how professional capture studios handle volume is worth knowing.
We're expanding to serve animation studios directly (not just film/game production).
If you work with motion data at scale, curious what your biggest pain points are.
Animation studios — if you're working with mocap data (cleaning, retargeting, polishing), you know how much time goes into prep and processing.
We just finished a large-scale capture project and wanted to share the workflow since it's relevant to anyone working with motion data.
What we did:
Key insight:
Scale changes everything. One actor, one day = different workflow than 12 actors, 24-hour operations.
At scale, you need:
Most animation studios outsource mocap data. If you're managing large projects and need clean motion data at scale, understanding how professional capture studios handle volume is worth knowing.
We're expanding to serve animation studios directly (not just film/game production).
If you work with motion data at scale, curious what your biggest pain points are.
Just wrapped a 4-day motion capture dataset shoot at our studio in India. Wanted to share some behind-the-scenes since motion data is becoming increasingly critical for humanoid robot training and imitation learning.
What we did:
What's interesting about this:
Most AI/ML teams working on humanoid control or embodied AI are stuck with either:
We realized professional motion capture studios have the infrastructure already built. So we're now offering this as a service specifically for ML teams.
The dataset we captured is structured for imitation learning — actions, locomotion, complex movements. Not cinematic. Not game-ready. Built specifically for training.
If you're working on humanoid robotics, gesture recognition, or motion-based ML models and need real human movement data, this is now available as a service.
More details: www.appleartsstudios.com
Happy to answer questions about dataset format, motion capture quality, or scaling.