CLARU
Ragab-Adelother

Privacy-Preserving Real-World Human Motion Sample

A market-validation sample of anonymous 2D skeleton/pose observations derived from a real-world indoor CCTV stream, containing 750 public observations with no raw RGB video or audio.

Downloads0
Episodes750

Why This Matters for Physical AI

This dataset provides real-world human motion and pose data relevant for training robots to understand and interact safely with humans in shared environments through human activity recognition and pose-based trajectory modeling.

Technical Profile

Modalities
pose_estimationskeleton
Environment
indoor
Task Types
human_activity_recognitionpose_estimationtrackinghuman_aware_navigation
Episodes
750
Data Format
csv
Annotation Types
pose_labelsskeleton_labelstrack_identifiers
License
other
Part of the Privacy-Preserving Real-World Human Motion Sample family

Access

View on HuggingFace

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