---
license: cc-by-4.0
task_categories:
- video-classification
tags:
- robotics
- egocentric
- hand-pose
- manipulation
- imitation-learning
- label-studio
pretty_name: SIGNIQ Egocentric Hand-Pose Sample
size_categories:
- n<1K
---

# SIGNIQ Egocentric Hand-Pose Sample

Five short **egocentric (head-mounted GoPro) manipulation clips** for hand-pose / action-segment
annotation. Web-optimized H.264 (1280×720, 30 fps, faststart) so they stream in-browser and
support HTTP range requests — ready to load straight into a Label Studio Video timeline project.

| clip | scenario | length |
|------|----------|--------|
| smoke_10s | quick smoke clip | 10 s |
| crossed_hands_30s | hands crossing / bimanual | 30 s |
| object_occlusion_30s | hand occluded by object | 30 s |
| low_texture_reflective_30s | low-texture / reflective surface | 30 s |
| fast_head_turn_30s | fast head motion | 30 s |

## Import into Label Studio / SIGNIQ Lab

`videos/` holds the clips; `label_studio_import.json` is a ready task list pointing at the
hosted URLs. In a project using the **Egocentric Hand Pose (Video Timeline)** template:
**Import → upload `label_studio_import.json`** (or paste the URL list). Each task binds to the
config's single `$video` key.

Source: SIGNIQ Lab GoPro v2 QA capture set.