Human Fall Behavior and Abnormal Posture Monitoring Image Dataset

#human pose recognition #fall behavior classification #abnormal posture classification #object detection #image classification #elder care facility monitoring #in-home fall alerts #hospital ward checks #indoor security surveillance #public-space incident monitoring

7148
0.4GB
piece
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This image dataset focuses on human falls and abnormal postures, providing images and corresponding annotation files for identifying and analyzing human states. It also includes basic metadata such as class IDs, image dimensions, and image formats. The data can support the development and evaluation of fall and posture recognition algorithms for applications such as security monitoring, elder care, and indoor safety; the actual sample count, capture environments, and class definitions should be verified against the dataset package.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
image_id	string	Unique identifier assigned to the image.
image_path	string	Path to the image file.
label_path	string	Path to the annotation file associated with the image.
category_id	array	Identifier for the image class.
image_width	number	Width of the image in pixels.
image_format	string	File format of the image.
image_height	number	Height of the image in pixels.

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

Frequently Asked Questions

What does the dataset contain?: The dataset focuses on human fall behavior and abnormal posture monitoring. It includes images, paths to corresponding annotation files, and metadata such as class IDs, image dimensions, and formats. Refer to the delivered files for exact class definitions and file organization.

Are the sample count and image resolution specified?: The available information does not specify the sample count, resolution range, or capture environments. Image width, height, and format are represented by the corresponding fields; verify the delivered files and annotation completeness before use.

Which tasks and applications does the dataset support?: It can support fall behavior recognition, abnormal posture classification, human pose analysis, and training or evaluation of related visual monitoring models. Potential applications include elder care, ward monitoring, and indoor safety systems.

How can the data be obtained and used?: Use the download or delivery method provided on the product page or platform, and check the available documentation for annotation formats and usage instructions. Commercial use, redistribution, and other permissions are subject to the product terms or license agreement.

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Cite this Work

@dataset{Mobiusi2026,
  title={Human Fall Behavior and Abnormal Posture Monitoring Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e799505325d8421b6f50342ca9bb3701},
  urldate={2026-11-05},
  keywords={human fall dataset, abnormal posture images, fall detection data, human pose recognition, elder care safety, fall behavior recognition, visual surveillance data, abnormal behavior detection},
  version={1.0}
}

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