Egocentric Data · First-Person Video

Recover tasks, actions, and interactions from egocentric video

Egocentric data records what an operator sees, touches, and does. Rapid viewpoint changes, hand occlusion, and continuous motion make egocentric data annotation more complex than ordinary video labeling.

KeenTruth turns continuous egocentric video into training data with explicit task hierarchy, action semantics, object relationships, and quality outcomes.

01

Egocentric data we handle

  • Head-mounted device video
  • First-person hand-operation video
  • Egocentric human demonstrations
  • Home, office, and industrial tasks
  • Video with language instructions or task metadata
02

Common quality problems

Rapid viewpoint changes

Head motion creates blur, temporary object loss, and uncertain boundaries.

Hand and object occlusion

Hands, tools, and targets frequently occlude one another.

Continuous actions

Long tasks require a consistent decomposition hierarchy.

Different execution styles

People use different sequences, speeds, and habits for the same task.

03

Egocentric data annotation services

  • Task, subtask, and action segmentation
  • Action semantics and natural-language descriptions
  • Object boxes, classes, attributes, and states
  • Hand keypoints and grasp state
  • Hand–object, tool, and environment relationships
  • Success, failure, interruption, and retry labels
04

Suitable training tasks

  • Egocentric behavior understanding
  • VLA model training
  • Long-horizon task decomposition
  • Hand–object interaction
  • Manipulation skill learning
  • Task planning and process prediction

FAQ

Frequently asked questions

What is egocentric data?

Egocentric data records tasks and interactions from the operator’s own perspective, showing objects, hand actions, tool use, and task state together.

Who defines the action vocabulary?

Customers can provide one, or KeenTruth can help define it from sample tasks and model goals.

How are heavily occluded hands annotated?

The specification defines visible, partially occluded, fully occluded, and indeterminate cases.

Can we request task decomposition only?

Yes. Annotation modules can be combined according to the model task and budget.

Contact

Move raw embodied data into training faster.

Tell us about your data, annotation requirements, and quality expectations.