Commercial

Gesture Recognition Dataset

This dataset offers videos of clearly demonstrated hand gestures for hand gesture recognition, movement recognition, and hand gesture detection, providing labeled training data that supports recognition systems and hand tracking for building AI models that accurately identify hand movements, finger movements, and specific gestures to improve user interfaces, object detection, and sign recognition applications.

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  • videos
    10,000+
  • hand gestures
    5
  • Gesture Recognition
  • Detection
  • Human-Computer Interaction
  • Computer Vision
  • Machine learning

This dataset offers videos of clearly demonstrated hand gestures for hand gesture recognition, movement recognition, and hand gesture detection, providing labeled training data that supports recognition systems and hand tracking for building AI models that accurately identify hand movements, finger movements, and specific gestures to improve user interfaces, object detection, and sign recognition applications.

Get in touch Download sample
  • Gesture Recognition
  • Detection
  • Human-Computer Interaction
  • Computer Vision
  • Machine learning
  • videos
    10,000+
  • hand gestures
    5

Dataset Info

Characteristic Data
Description Each video shows a person clearly demonstrating a single hand gesture
Data types Video
Tasks Detection, Classification, Recognition
Number of video 10,000+
Labeling Metadata(id, gender)
Gender Male, female
Type of hand gesture One, four, small, fist, and me.
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Technical
Characteristics

Characteristic Data
File extension mp4
Source and collection methodology. Data was collected by UniData team by using the crowdsourcing service

Dataset Use Cases

  • Human–Computer Interaction

    Gesture-Based Control Systems

    Gesture Recognition Dataset helps develop touchless interfaces by training machine learning models to interpret hand gestures, finger movements, and body motions. It supports gesture detection and hand tracking for applications like AR/VR environments, smart homes, and automotive systems, enabling more natural and responsive user interaction experiences.

  • Healthcare & Rehabilitation

    Monitoring and Movement Analysis

    This dataset can be used to build recognition systems for tracking patient progress during physical therapy or rehabilitation exercises. Analyzing dynamic hand and arm movements helps medical software identify proper gesture patterns, ensuring accurate monitoring and assisting in personalized recovery programs.

  • Technology & AI Development

    Training Gesture Recognition Models

    Developers use the dataset as high-quality training data for neural networks and deep learning models that recognize hand poses, signs, and movements. It enhances computer vision systems in gesture identification and object detection, improving accuracy in sign language recognition, wearable devices, and motion-based interfaces.

  • Gaming & Entertainment

    Gesture-Controlled Gameplay and Immersive Experiences

    The dataset supports creating gesture-based gaming environments and virtual reality experiences. It allows developers to train models that accurately interpret gestures and hand motions, improving player engagement through natural, intuitive controls and seamless integration with 3D models and motion tracking technologies.

FAQs

What is included in this dataset?
Gesture Recognition Dataset contains over 10,000 video samples featuring individuals demonstrating one of several predefined gestures, including “one,” “four,” “small,” “fist,” and “me.”
What types of annotations are provided?
The dataset includes metadata annotations detailing participant ID and gender, which are useful for analyzing gesture performance across demographics. These labels help refine learning algorithms and improve model generalization for gesture recognition tasks.
Is it possible to request a custom dataset?
Yes. Unidata supports the creation of custom gesture datasets based on specific research needs, device setups, or gesture categories. You can request tailored training datasets that align with unique requirements for gesture recognition and hand motion detection models.
Can I request a sample of the dataset before purchasing?
Yes. Unidata provides free sample data so you can test the hand gesture recognition quality, labeling format, and compatibility with your machine learning pipeline before purchasing the full dataset.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets fully comply with GDPR and other relevant data protection laws. Each dataset is collected from legally permissible sources, ensuring privacy and ethical handling of all recorded participants and content.
How are Unidata datasets stored?
All Unidata datasets are securely stored on AWS cloud infrastructure, ensuring both high availability and strong data protection. The storage system complies with ISO 27001 and ISO 27701 standards, providing a reliable environment for AI training datasets.
How long does it take to receive the dataset?
After submitting your purchase request, Unidata will confirm your details and issue the necessary documentation. Once the agreement and payment are finalized, the dataset is securely delivered within 3–10 business days.
Still have questions about using Unidata datasets? Read our user-guides

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