Sudden Fall Action Recognition Dataset
#action recognition #anomaly detection #elderly community #construction site #hospital #station
- Records
- 500 records
- Size
- 1.5G
- Format
- MP4/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current security industry faces an increasing number of fall incidents involving the elderly, especially in public places such as hospitals and stations. These incidents not only affect the safety of the elderly but also impose a huge burden on society. Existing surveillance systems often cannot promptly identify such accidental incidents, causing delays in assistance. This dataset aims to accurately recognize the actions of elderly people suddenly falling under non-exercise conditions through video analysis technology to improve emergency response capabilities. Data collection uses high-resolution surveillance cameras in real environments such as elderly communities, hospitals, etc. We ensure high data quality through multiple rounds of annotation and expert review. Meanwhile, the data storage format is MP4, organized by video ID for convenient subsequent analysis and processing.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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
FAQ
Frequently Asked Questions
- What scenarios is the sudden fall action recognition dataset suitable for?
- This dataset can be used in home environments where the elderly live, nursing homes, and hospitals to identify sudden falls, enhancing safety.
- What types of video data are included in this dataset?
- The dataset includes video data of sudden falls in non-exercising situations of the elderly to improve recognition accuracy in security scenarios.
- How does the sudden fall action recognition dataset improve security effects?
- By timely identifying sudden fall actions in elderly individuals, it allows for quick responses to potential dangerous situations, reducing the occurrence of accidental injuries.
- Why choose to use video modality data for fall recognition?
- Video modality data provides rich visual information, which can more accurately capture and analyze the details of elderly falls, enhancing recognition accuracy.
- What is the potential application value of this dataset in the security field?
- This dataset can be used to develop intelligent surveillance systems, providing more reliable and effective elderly protection solutions in the security field.
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Cite this Work
@dataset{Mobiusi2025,
title={Sudden Fall Action Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/39ea85464f961ea35940d490105ca713?cate=4},
urldate={2025-09-15},
keywords={action detection dataset, fall action recognition, security video analysis, elderly fall detection},
version={1.0}
}Using this in research? Please cite us.
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