| --- |
| pretty_name: Human Motion Skeleton & Activity Dataset |
| license: other |
| task_categories: |
| - time-series |
| tags: |
| - computer-vision |
| - human-pose-estimation |
| - human-motion |
| - activity-recognition |
| - skeleton |
| size_categories: |
| - n<1K |
| --- |
| # Human Motion Skeleton & Activity Dataset — Public Evaluation Sample |
|
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| Release: `human_motion_sample_2026_08_17_v2` |
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| A lightweight public evaluation sample of anonymized human motion data extracted from CCTV/RTSP video and converted into structured skeleton pose and motion metadata. |
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| This public release is intentionally limited to help researchers, ML engineers, and AI teams evaluate the usefulness of the dataset before requesting access to a larger commercial dataset. |
|
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| ## What's included |
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| - 500 skeleton pose records |
| - 461 motion observations |
| - 17 motion segments |
| - Anonymous track IDs |
| - Time-aware motion sequences |
| - Automatically inferred activity labels |
| - Technical quality and provenance metadata |
|
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| ## Potential use cases |
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| This sample may be useful for: |
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| - Human pose estimation research |
| - Motion understanding |
| - Activity recognition |
| - Temporal movement analysis |
| - Skeleton-based machine learning |
| - Computer vision experimentation |
| - Privacy-preserving motion analytics |
| - AI model prototyping |
|
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| ## Source |
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| - Source type: CCTV / RTSP |
| - Camera ID: `CAM-01` |
| - Source session: `20260816T102302Z` |
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| The public dataset contains structured motion information only. |
|
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| ## Privacy |
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| No raw CCTV imagery is included. |
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| This sample does **not** contain: |
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| - Raw CCTV frames |
| - Face crops |
| - Face images |
| - Face embeddings |
| - Private event clips |
| - Employee names |
| - Personal identity fields |
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| The dataset is designed around skeleton-only / structured motion representations. |
|
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| ## Labels |
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| Current motion labels are automatically inferred / pseudo-labeled. |
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| They are **not human-verified ground truth**. |
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| Current supported motion categories may include: |
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| - standing |
| - walking |
| - running |
| - sitting |
| - bending |
| - falling |
| - unknown |
|
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| See `docs/LABEL_DEFINITIONS.md` for details. |
|
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| ## Dataset files |
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| ### Data |
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| - `data/skeleton_pose.jsonl` |
| - `data/motion_observations.jsonl` |
| - `data/motion_segments.jsonl` |
|
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| ### Metadata |
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| - `metadata/sample_manifest.json` |
| - `metadata/source_manifest.json` |
| - `metadata/source_provenance.json` |
| - `metadata/source_quality_report.json` |
|
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| ### Documentation |
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| - `docs/DATA_DICTIONARY.md` |
| - `docs/LABEL_DEFINITIONS.md` |
| - `docs/RIGHTS_AND_PROVENANCE.md` |
|
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| ## Sample limitation |
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| This release contains a maximum of 500 skeleton records and represents only a small evaluation subset. |
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| It should **not** be treated as the complete Human Motion Dataset. |
|
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| ## Larger dataset availability |
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| Larger datasets with substantially more motion observations and sessions may be made available separately for evaluation, research, or commercial licensing, subject to applicable rights and redistribution requirements. |
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| If your team is working on: |
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| - Human motion models |
| - Pose / activity recognition |
| - Robotics |
| - Computer vision |
| - Behavior analytics |
| - Skeleton-based AI |
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| and would like to evaluate a larger sample or discuss dataset requirements, please contact the dataset publisher through the platform profile. |
|
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| ## Release strategy |
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| Public samples are expected to be updated regularly as additional validated motion data becomes available. |
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| Each public release remains intentionally limited, while larger validated datasets are retained separately. |
|
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| ## Important notice |
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| Technical provenance and quality validation do not by themselves establish legal redistribution rights. |
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| Any larger commercial release is subject to appropriate rights verification and licensing terms. |
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