Wheelchair Operator Posture Classification Image Dataset
#classification tasks #posture recognition #medical assistance #rehabilitation training #posture recognition
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-18
AI Analysis & Value Prop
In the medical industry, recognizing the posture of wheelchair operators is key to enhancing patient autonomy. However, current technologies face challenges with diverse postures and complex environments, leading to insufficient accuracy in existing recognition systems. By constructing this dataset, we aim to improve the accuracy of posture classification to meet the needs of medical assistance and rehabilitation training. The dataset contains 5000 images collected using high-quality camera equipment under different lighting and angles to ensure data diversity and representativeness. We use multiple rounds of annotation and expert review to enhance data quality, ensuring consistency and accuracy in annotations. The data will be stored in JPG format, with each image accompanied by detailed annotation information organized by file structure.
Dataset Insights
Sample Examples
35292526**.jpg|1077*1576|138.34 KB
83d959aa**.jpg|1080*1277|176.47 KB
604425ce**.jpg|1080*1440|385.17 KB
4995da74**.jpg|1080*1303|290.93 KB
5603f9b6**.jpg|900*1200|297.31 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| pose_type | string | The identified category of the wheelchair operator's pose, such as sitting, standing, etc. |
| operator_visibility | float | The visibility of the wheelchair operator in the image, expressed as a percentage. |
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 medical health applications can this dataset be used for?
- The wheelchair operator posture classification image dataset can be used for developing assistive technologies, improving the quality of life for wheelchair users, and helping in monitoring and assessing the health condition of users.
- What types of posture classifications does this dataset include?
- The dataset mainly includes various postures of wheelchair operators used to identify different operation and posture categories to help improve operation technique and comfort.
- How can this dataset be used to improve assistive healthcare technologies?
- This dataset can be used to train machine learning models to analyze operator postures, improving the response speed and accuracy of medical devices, thus enhancing user safety and comfort.
- What is the importance of wheelchair operator posture classification for health monitoring?
- Analyzing the postures of wheelchair operators allows for the assessment of users' movement patterns in daily life, helping in the early detection of health issues and taking preventive actions.
- What are the advantages of image classification in the medical health sector?
- In the medical health sector, image classification enables the rapid analysis of large amounts of data, enhances the accuracy and efficiency of diagnostics, especially in the use of assistive devices.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Wheelchair Operator Posture Classification Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/1bd03468f86c253a081802afa1662a42?dataset_scene_id=4},
urldate={2025-10-22},
keywords={wheelchair operator, posture classification, medical image dataset, image recognition, rehabilitation training},
version={1.0}
}Using this in research? Please cite us.
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