17851275. GENERATING PREDICTED INK STROKE INFORMATION USING INK-BASED SEMANTICS simplified abstract (Microsoft Technology Licensing, LLC)

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GENERATING PREDICTED INK STROKE INFORMATION USING INK-BASED SEMANTICS

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Steven N. Bathiche of Bellevue WA (US)

Moshe R. Lutz of Bellevue WA (US)

GENERATING PREDICTED INK STROKE INFORMATION USING INK-BASED SEMANTICS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17851275 titled 'GENERATING PREDICTED INK STROKE INFORMATION USING INK-BASED SEMANTICS

Simplified Explanation

The patent application describes systems and methods for generating predicted ink strokes using ink-based semantics. Here are the key points:

  • Ink stroke data is received as input.
  • The ink stroke data and a semantic context are used as input for a model.
  • The model determines one or more predicted ink strokes.
  • An indication of the predicted ink strokes is generated.

Potential Applications

This technology has potential applications in various fields, including:

  • Digital note-taking applications: The predicted ink strokes can assist users in quickly and accurately capturing their handwritten notes digitally.
  • Digital art and design: Artists and designers can benefit from the ability to generate predicted ink strokes, which can help them create digital artwork more efficiently.
  • Handwriting recognition: The predicted ink strokes can be used to improve the accuracy of handwriting recognition systems by providing additional context and guidance.

Problems Solved

The technology addresses several problems:

  • Efficiency: By generating predicted ink strokes, users can save time and effort in creating digital ink-based content.
  • Accuracy: The semantic context used in the model helps in generating more accurate and contextually relevant predicted ink strokes.
  • User experience: The ability to generate predicted ink strokes enhances the user experience by providing real-time feedback and assistance while writing or drawing digitally.

Benefits

The technology offers several benefits:

  • Improved productivity: Users can create digital ink-based content more quickly and efficiently with the assistance of predicted ink strokes.
  • Enhanced creativity: Artists and designers can explore new possibilities and experiment with different strokes and styles, supported by the generated predictions.
  • Better user experience: The real-time indication of predicted ink strokes helps users stay focused and provides a more intuitive and natural writing or drawing experience.


Original Abstract Submitted

In some examples, systems and methods for generating predicted ink strokes, using ink-based semantics, are provided. Ink stroke data may be received, the ink stroke data and a semantic context may be input into a model. From the model, one or more predicted ink strokes may be determined. Further, an indication of the one or more predicted ink strokes may be generated.

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