Gesture Recognition Video Dataset
#gesture recognition #behavior detection #action analysis #event triggering #video surveillance #security protection #smart home #human-computer interaction
- 500 records
- 1.5G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Current security systems rely on traditional cameras and sensors for gesture recognition. However, due to diverse gestures and complex environmental factors, there are often inaccuracies affecting reaction speed and decision accuracy. Existing solutions suffer from low recognition rates and high false alarm rates due to data homogeneity and inconsistent labeling. This dataset aims to overcome these technical bottlenecks with diverse video gesture data, meeting the needs of real-time accurate recognition. Data is collected using high-frame-rate HD cameras in varied environments to ensure scene diversity and realism. For quality control, a multi-round expert annotation and consistency verification process is designed to ensure labeling accuracy and data integrity. The annotation team is composed of computer vision and security experts with rich practical experience. Data preprocessing includes denoising, editing, and normalization, employing cutting-edge technology to ensure efficient storage. Data is stored in MP4 format, facilitating operation and access.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| gesture_type | string | Indicates the type of gesture identified in the video. |
| gesture_speed | float | The speed of the gesture in the video, measured in seconds. |
| gesture_start_time | float | The timestamp in the video when the gesture starts, measured in seconds. |
| gesture_end_time | float | The timestamp in the video when the gesture ends, measured in seconds. |
| gesture_confidence | float | The confidence score given by the system for the gesture recognition. |
| gesture_orientation | string | The direction of the gesture in the video, e.g., up, down, left, right. |
| lighting_conditions | string | The lighting conditions present during video capture, such as bright or dim. |
| background_clutter | string | Describes the level of clutter in the background of the video, e.g., simple, complex. |
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 are the application scenarios for the gesture recognition video dataset?
- The gesture recognition video dataset can be used in smart device interaction, security defense systems, virtual reality control, and gesture operation research and development.
- How does the gesture recognition video dataset improve the precision of security systems?
- By analyzing gesture movements in videos, this dataset can aid in designing more intelligent security systems, enhancing their anomaly detection and quick response capabilities.
- Which smart devices can benefit from the gesture recognition video dataset?
- Smartphones, smart watches, home security devices, and AR/VR devices can all benefit by integrating gesture recognition features.
- How is gesture recognition technology applied in videos?
- Gesture recognition technology is applied in videos by analyzing video data to identify and analyze gesture patterns, enabling touchless operation and control in devices.
- What is the future development trend of the gesture recognition video dataset?
- In the future, this dataset may cover a wider variety of gestures and be applied to a broader range of smart devices, enhancing device interactivity and user experience.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Gesture Recognition Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/1f38d3e69ff5d93cad94b7285e84b940},
urldate={2026-02-04},
keywords={gesture recognition, video analysis, security surveillance dataset, behavior detection data},
version={1.0}
}Using this in research? Please cite us.
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