Microsoft technology licensing, llc (20240341648). SYSTEMS AND METHODS OF CAPTURING EYE-GAZE DATA simplified abstract
Contents
SYSTEMS AND METHODS OF CAPTURING EYE-GAZE DATA
Organization Name
microsoft technology licensing, llc
Inventor(s)
Jatin Sharma of Sammamish WA (US)
Jonathan T. Campbell of Redmond WA (US)
Jay C. Beavers of Duvall WA (US)
Peter John Ansell of Renton WA (US)
SYSTEMS AND METHODS OF CAPTURING EYE-GAZE DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240341648 titled 'SYSTEMS AND METHODS OF CAPTURING EYE-GAZE DATA
- Simplified Explanation:**
The patent application describes a system and method for collecting eye-gaze data to train an eye-gaze prediction model. This involves selecting a scan path through regions on a screen, moving a symbol as a target along the path, and capturing facial images at eye-gaze points.
- Key Features and Innovation:**
- Selecting a scan path through a grid on a screen to collect eye-gaze data.
- Moving a symbol as an eye-gaze target along the scan path.
- Receiving facial images at eye-gaze points uniformly distributed within regions on the screen.
- Regions near edges and corners of the screen are smaller to capture more data in those areas.
- Displaying instructions to users to enhance variations of facial images.
- Potential Applications:**
This technology can be used in eye-tracking research, human-computer interaction studies, and developing eye-gaze prediction models for various applications.
- Problems Solved:**
The technology addresses the need for accurate eye-gaze prediction models by collecting data efficiently and enhancing facial image variations.
- Benefits:**
- Improved accuracy in eye-gaze prediction models.
- Enhanced data collection process for eye-tracking studies.
- Better understanding of human behavior in relation to eye movements.
- Commercial Applications:**
- "Enhanced Eye-Gaze Prediction Model Training System for Research and Development"
- This technology can be utilized in industries such as market research, advertising, and user experience design to optimize product placement and user engagement strategies.
- Questions about Eye-Gaze Prediction Models:**
1. How can this technology benefit industries beyond research and development?
- This technology can provide valuable insights for market research, advertising, and user experience design to enhance product placement and user engagement strategies.
2. What are the potential limitations of using eye-gaze prediction models in real-world applications?
- Some limitations may include privacy concerns related to collecting and analyzing eye-gaze data, as well as the need for continuous calibration and validation of the prediction models in different environments.
Original Abstract Submitted
systems and methods are provided for collecting eye-gaze data for training an eye-gaze prediction model. the collecting includes selecting a scan path passing through a series of regions of a grid on a screen of a computing device, moving a symbol as an eye-gaze target along the scan path, and receiving facial images at eye-gaze points. the eye-gaze points are uniformly distributed within the respective regions. areas of the regions that are adjacent to edges and corners of the screen are smaller than other regions. the difference in areas shifts centers of the regions toward the edges, density of data closer to the edges. the scan path passes through locations in proximity to the edges and corners of the screen for capturing more eye-gaze points in the proximity. the methods interactively enhance variations of facial images by displaying instructions to the user to make specific actions associated with the face.
