Fine-grained hand and tool interaction in electronics work.
Egocentric Human Demonstration
Egocentric Human Demonstration Data for Robotics and Physical AI
Capture first-person human activity where hands, tools, objects, actions, and environmental context remain visible throughout real-world task execution.
Real-World Context
First-person data preserves the action from the operator's point of view.
Egocentric collection is useful when models must learn hand-object interaction, tool use, manipulation sequences, fine motor actions, task context, and real operational workflows.
Region-specific skilled food-production workflow.
Contact-rich manual processing and tool interaction.
Core Requirements
Egocentric collection requires controlled field protocols.
Camera placement, viewpoint, hand visibility, clip rules, task definitions, motion, lighting, metadata, operator instructions, and quality criteria must be validated before production.
Hands & Objects
Capture hand visibility, object state changes, grasping, placement, contact, tool use, and sequential manipulation.
Skilled Human Work
Record specialized industrial, household, service, food-production, maintenance, and other approved real-world tasks.
Task-Centered Context
Preserve the environment around the operator so actions remain connected to tools, objects, surfaces, and workflow state.
Production Architecture
From field capture to engineering-ready delivery.
Each project is scoped around the target task, capture architecture, metadata, validation criteria, quality requirements, and downstream integration needs.
Capture Protocol
Define viewpoint, task boundaries, camera position, hand visibility, clip duration, environmental conditions, and recapture rules.
Sensor Extension
Add IMU, audio, timestamps, device metadata, or other project-required sensor signals where available.
QC & Traceability
Validate task compliance, technical quality, metadata completeness, exceptions, provenance, and delivery structure.
Related Capabilities
Explore connected Physical AI data capabilities.
FAQ
Egocentric Human Demonstration FAQ
What is egocentric human demonstration data?
It is first-person data captured from the operator's viewpoint while a real task is performed, preserving hands, objects, tools, actions, and surrounding context.
Can IMU or audio be captured with first-person video?
Yes. IMU, audio, timestamps, device metadata, and other sensor streams can be included when supported by the capture configuration and project requirements.
Can you collect specialized Korean workflows?
Yes. Approved industrial, food-production, service, household, maintenance, and other skilled workflows in South Korea can be evaluated for collection.
How do you control quality in egocentric footage?
Quality rules can cover camera position, hand visibility, framing, lighting, motion, task completion, clip integrity, metadata, and project-specific acceptance criteria.
Start with the Requirement
Define the human task your model needs to observe.
Send the target workflow, required viewpoint, hand visibility, sensor needs, metadata, environment, and acceptance criteria to scope an egocentric pilot.