A research project focused on modeling and detecting features of touch input on surface-based computing systems.
SurTouch is part of a broader exploration into how users interact with large touch surfaces. It includes tools for detecting touch "features" (area, pressure-simulated contours, etc.) and building datasets for machine learning analysis.
A C# application that processes touch input and extracts features such as:
- Touch area and bounding boxes
- Geometric centers and elliptical fits
- Thresholding data for contour analysis
- Exporting data to ARFF format for use with the WEKA Machine Learning Workbench.
- Language: C#
- Dependencies: IKVM.NET (for WEKA integration), .NET Framework.
- Output: WEKA ARFF files.
- Alex Jansen
- University of Washington
This project is licensed under the MIT License - see the LICENSE file for details.