Limb Activity and Recreational Action Posture Video Dataset
#Action Recognition #Posture Estimation #Behavior Classification #Health Status Assessment #Physical Activity Analysis #Rehabilitation Training #Health Monitoring #Action Recognition
- 500 records
- 1.3G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In the modern medical and health field, with the enhancement of public health awareness and the arrival of an aging society, physical activity monitoring and rehabilitation training have become crucial. However, existing solutions often lack the ability to accurately identify and analyze complex limb movements, especially in home environments. The Limb Activity and Recreational Action Posture Video Dataset aims to improve the accuracy of such systems to better support users' self-health management and remote monitoring by healthcare professionals. The video collection in this dataset uses high-definition camera equipment to record different limb activities in various living environments. Quality control is reflected in multiple rounds of annotation and consistency checks, with the annotation team consisting of 20 experts in the medical field and motion capture. The data is pre-processed, including editing, denoising, and frame alignment, and is finally organized and stored in MP4 format to facilitate rapid distribution and use.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| activity_type | string | The type of recreational or therapeutic activity shown in the video. |
| participant_count | integer | The number of participants appearing in the video. |
| participant_age_group | string | The age group of participants in the video, such as teenagers, adults, or seniors. |
| environment_type | string | The type of environment where the video is filmed, such as indoor, outdoor, or gym. |
| activity_intensity | string | The intensity level of the activity in the video, such as low, medium, or high. |
| equipment_used | string | Description of any assistive devices or tools used in the video. |
| background_music | boolean | Indicates whether background music is present in the video. |
| video_language | string | The primary language used in the video. |
| instruction_presence | boolean | Indicates if there is an instructor or guidance provided in the video. |
| motion_repetition | integer | The number of repetitions of a specific motion in the video. |
Compliance Statement
| 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 |
Frequently Asked Questions
- What is the main use of the Body Activity and Leisure Movement Posture Video Dataset?
- This dataset is primarily used for analyzing movement behavior and assessing rehabilitation effectiveness, enhancing research outcomes in the healthcare field.
- How does this dataset promote research in the healthcare field?
- By providing accurate movement behavior data, it helps researchers develop more effective methods and tools in movement analysis and rehabilitation.
- Which researchers is the Body Activity and Leisure Movement Posture Dataset suitable for?
- This dataset is suitable for researchers working in the fields of exercise science, physical therapy, and rehabilitation medicine.
- Why is the video modality important for body activity research?
- The video modality can provide dynamic and accurate capture of movement behavior, aiding in-depth analysis and understanding.
- What are the benefits of using this dataset for research?
- Researchers can use this dataset for efficient movement analysis to develop new rehabilitation techniques and methods.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Limb Activity and Recreational Action Posture Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/2fcef246d7b6bb840a86ba81b40f4123?dataset_scene_id=4},
urldate={2026-02-04},
keywords={Limb Activity, Recreational Action, Video Data, Medical Health, Rehabilitation Training},
version={1.0}
}Using this in research? Please cite us.
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