MOBIUSI INC| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| operation_step | string | The specific blood collection operation steps demonstrated in the video, such as disinfection and puncture. |
| operator_position | string | The position of the operator when executing each step in the video. |
| hand_movement | string | Records the hand movements of the operator in the video, such as holding the needle and pressing. |
| patient_reaction | string | Describes the patient's reaction during the blood collection process in the video, such as pain reaction and degree of cooperation. |
| equipment_used | string | The names and models of the equipment used during the blood collection process. |
| duration_of_each_step | double | The length of time taken for each blood collection step in the video, measured in seconds. |
| lighting_conditions | string | The lighting conditions during video recording, such as natural light or artificial lighting. |
| camera_angle | string | The angle and position of the camera during video recording. |
| audio_clarity | string | Description of the audio clarity in the video, such as clear or blurred. |
| background_noise | string | Whether there is background noise in the video and its description. |
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

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@dataset{Mobiusi2026,
title={Blood Collection Procedure Video Tracking Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/4a0888a59383aa88f656904d094b23b0},
urldate={2026-02-04},
keywords={blood collection procedure video, medical video dataset, action recognition},
version={1.0}
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