Gesture Recognition Toolkit
The Gesture Recognition Toolkit (GRT) is an advanced, cross-platform machine learning library crafted for real-time gesture recognition. It incorporates an extensive array of algorithms for classification, regression, and clustering, alongside robust preprocessing and feature extraction modules. Its modular architecture promotes flexibility, allowing developers to create customized gesture recognition systems efficiently.
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Top Gesture Recognition Toolkit Features
- Cross-platform compatibility
- Open-source framework
- Real-time gesture recognition
- Extensive algorithm support
- Object-oriented modular architecture
- Standalone algorithm usage
- Central gesture recognition pipeline
- Customizable input signal types
- Preprocessing and feature extraction
- Regression and clustering capabilities
- Integration with third-party apps
- Extensive documentation and tutorials
- Double precision floating point support
- CMake build automation
- User contributions encouraged
- Easy installation process
- Active GitHub community
- Flexible data structures
- MIT licensing for usage
- Regular updates and feedback incorporation.
