Google llc (20240232505). TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA simplified abstract
Contents
TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA
Organization Name
Inventor(s)
Alexander James Faaborg of Mountain View CA (US)
Brett Barros of San Mateo CA (US)
TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232505 titled 'TEXT LAYOUT INTERPRETATION USING EYE GAZE DATA
Simplified Explanation: The patent application discusses using gaze data collected from eye gaze tracking during text reading training to train a layout interpretation model. This model can then determine the layout of text and arrange words accordingly.
Key Features and Innovation:
- Gaze data from eye gaze tracking used for training a layout interpretation model
- Model processes text to determine layout and arrange words accordingly
Potential Applications: This technology can be applied in:
- Text formatting and layout design software
- Educational tools for reading comprehension
- Accessibility features for individuals with visual impairments
Problems Solved:
- Efficient text layout interpretation
- Improved reading experience for users
- Enhanced accessibility for individuals with visual impairments
Benefits:
- Streamlined text processing
- Enhanced user experience
- Increased accessibility for all users
Commercial Applications: Title: Enhanced Text Layout Interpretation Technology for Software Applications This technology can be utilized in:
- Publishing software
- E-learning platforms
- Accessibility software for individuals with disabilities
Prior Art: Readers can explore prior research on eye gaze tracking technology and text layout interpretation models in the field of human-computer interaction.
Frequently Updated Research: Researchers are continually exploring advancements in eye gaze tracking technology and text layout interpretation models for various applications.
Questions about Text Layout Interpretation Technology: 1. How does this technology improve text processing efficiency? 2. What are the potential implications of this technology for individuals with visual impairments?
Original Abstract Submitted
gaze data collected from eye gaze tracking performed while training text was read may be used to train at least one layout interpretation model. in this way, the at least one layout interpretation model may be trained to determine current text that includes words arranged according to a layout, process the current text with the at least one layout interpretation model to determine the layout, and output the current text with the words arranged according to the layout.
