▲ 19 r/motion_capture+5 crossposts

Building Human Motion Datasets for Robotics, AI, and Physical AI

A short look into our current AI dataset production workflow.

We’re currently producing:

  • Activities of Daily Living (ADL) Datasets
  • Human-Object Interaction (HOI) Datasets
  • Locomotion & Movement Datasets
  • Emotional Behavior Datasets
  • Tactical / Weapon Handling Datasets

Built using full Motion Capture pipelines.

Interesting seeing how the same Motion Capture workflows used for films and games are now becoming critical for Robotics Training, Physical AI, and Humanoid Robot learning.

Some of these motion libraries will also be made available through Animation Shopee.

u/PossiblePotato961 — 5 days ago
▲ 5 r/motion_capture+4 crossposts

Building Household Activity AI Datasets Using Motion Capture

Currently working on another AI dataset production focused on household activity capture.

The goal is to build structured human motion datasets for AI training, action recognition, robotics behavior systems, and computer vision pipelines.

Using our Motion Capture, Performance Capture, Facial Capture, and Motion Capture Post-Processing workflows to create cleaner and more scalable human movement datasets.

Curious how others here approach household behavior capture for AI model training.

u/PossiblePotato961 — 21 days ago
▲ 5 r/motion_capture+4 crossposts

A Special Moment Seeing Our Motion Capture Work on the Big Screen

Recently had the opportunity to attend the screening of Escaping Esau at Prasads Labs.

Our team handled body motion capture, facial capture, finger capture, motion capture post-processing, and Unreal Engine workflows for the project.

Seeing years of work finally come together on a cinema screen was incredibly rewarding.

One of the most memorable moments was seeing the Apple Arts Studios credit appear on the screen after being involved throughout the production pipeline.

A reminder that every rehearsal, capture session, cleanup pass, and technical challenge eventually leads to moments like this.

u/PossiblePotato961 — 27 days ago
▲ 0 r/mocap+1 crossposts

Motion capture is often associated with cameras, suits, and technology. What most people don't see is the planning, coordination, communication, and problem-solving happening behind every successful shoot.

Recently wrapped an intensive production where every day involved working closely with directors, actors, production teams, facial capture teams, and technical crews to keep the performance capture pipeline running smoothly.

Motion capture is always a team effort, and seeing everything come together successfully makes the hard work worth it.

Still learning. Still building. Still pushing motion capture forward.

#MotionCapture #PerformanceCapture #Mocap #MotionCaptureIndia #FacialCapture #VirtualProduction #UnrealEngine #MocapDirector #MocapSupervisor

u/PossiblePotato961 — 1 month ago
▲ 5 r/u_PossiblePotato961+4 crossposts

Behind the Scenes of a Motion Capture Production | Actor Perspective

One of the actors from a recent production put together this video showing his experience inside our motion capture studio at Apple Arts Studios.
The video covers the complete performance capture process, including:
Motion capture suits
Performance capture sessions
Facial capture workflows
Live previs
Director and production collaboration
Motion capture team operations
Unreal Engine production workflows
It’s always interesting seeing motion capture from the actor’s perspective and how body performance, facial capture, and performance capture come together during production.
At Apple Arts Studios, we specialize in:
Motion Capture Services
Performance Capture Services
Facial Capture
Finger Capture
Motion Capture Post-Processing
Unreal Engine Motion Capture
Virtual Production
Motion Capture for Films
Motion Capture for Gaming
AI Motion Datasets
Curious how other studios introduce actors to motion capture and performance capture workflows during production.
This gives you:
Motion Capture
Motion Capture Services
Motion Capture Studio
Performance Capture
Facial Capture
Motion Capture Post-Processing
Unreal Engine Motion Capture
Virtual Production
Motion Capture for Films
Motion Capture for Gaming
AI Motion Datasets
all naturally integrated while still reading like a Reddit post instead of an advertisement.

u/PossiblePotato961 — 1 month ago
▲ 0 r/mocap

Inside a Motion Capture Shoot | “Roll Camera”

“Roll.”
One of the most repeated words inside a motion capture volume.
Actors performing while body, facial, and finger capture systems run together in sync.
Another day inside the performance capture pipeline at Apple Arts Studios.

u/PossiblePotato961 — 1 month ago
▲ 4 r/u_PossiblePotato961+4 crossposts

Old Motion Capture R&D Test for Crow Movement Study

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.

u/PossiblePotato961 — 2 months ago
▲ 57 r/motion_capture+3 crossposts

Interesting History of Motion Capture

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.

u/PossiblePotato961 — 2 months ago
▲ 8 r/motion_capture+3 crossposts

High-Intensity Performance Capture Test | Unreal Engine Cinematic Workflow

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.

u/PossiblePotato961 — 2 months ago

High-intensity performance capture test applied onto Unreal Engine characters

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.

www.appleartsstudios.com

#MotionCapture #PerformanceCapture #Mocap #UnrealEngine #MetaHuman #VirtualProduction #GameDevelopment #AIDatasets #HumanMotionData

youtu.be
u/PossiblePotato961 — 2 months ago
▲ 13 r/motion_capture+11 crossposts

Recent performance capture test with body, facial, and finger capture combined

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.

www.appleartsstudios.com

#MotionCapture #PerformanceCapture #Mocap #UnrealEngine #MetaHuman #VirtualProduction #GameDevelopment #AIDatasets #HumanMotionData

u/PossiblePotato961 — 16 days ago
▲ 2 r/3danimation+1 crossposts

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:

  • 4-day continuous motion capture
  • 1800+ sequences
  • Parallel capture + processing (not serial)
  • Delivered production-ready data

Key insight:

Scale changes everything. One actor, one day = different workflow than 12 actors, 24-hour operations.

At scale, you need:

  • Real-time quality monitoring
  • Parallel processing pipelines
  • Marker consistency across sessions
  • Data annotation standards
  • Fast delivery without quality loss

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.

www.appleartsstudios.com

u/PossiblePotato961 — 2 months ago
▲ 1 r/AASMotionCapture+1 crossposts

Real motion data for animation — we captured 1800+ sequences. Here's what it takes at scale.

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:

  • 4-day continuous motion capture
  • 1800+ sequences
  • Parallel capture + processing (not serial)
  • Delivered production-ready data

Key insight:

Scale changes everything. One actor, one day = different workflow than 12 actors, 24-hour operations.

At scale, you need:

  • Real-time quality monitoring
  • Parallel processing pipelines
  • Marker consistency across sessions
  • Data annotation standards
  • Fast delivery without quality loss

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.

www.appleartsstudios.com

youtu.be
u/PossiblePotato961 — 2 months ago

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:

  • 12 actors
  • Continuous day + night shooting
  • Structured locomotion and action datasets
  • High-volume capture (1800+ sequences)
  • 24-hour production cycles to meet deadline

What's interesting about this:

Most AI/ML teams working on humanoid control or embodied AI are stuck with either:

  1. Low-quality synthetic data
  2. Academic datasets that don't scale
  3. Building their own infrastructure (expensive)

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.

instagram.com
u/PossiblePotato961 — 2 months ago