Intelligent Process Control Via Gaze Detection Technology.

Abstract

Gaze detection is to locate the position on a monitor screen where a user is looking. In their work, they implemented it with a computer vision system setting a camera above a monitor, and a user moves (rotates and/or translates) their face to gaze at a different position on the monitor. For their case, the user was requested not to move pupils of their eyes when they gazed at a different position on the monitor screen, though they are working on relaxing this restriction. Up to now, they have tried several different methods and among them the proposed Two Neural Network Method shows the best results. For the application of the gaze detection techniques to the user-interface of a control program, they supplemented two additional techniques. One was to drag a mouse cursor by moving their face after initially placing the cursor by gazing, and another was to click the cursor by winking one eye. These were applied to user-interface of a process control program in three different ways. First, even when both hands are busy doing the work, the user can still control the monitor screen by gazing, dragging, and winking. Secondly, if the user is absent and not in front of the monitor when important states occur, then the system can record and replay them later when the user returns. Finally, as the system knows where the user is looking, if an emergency occurs at a different point from where the user is looking, then the system can display a warming signal. This paper also includes subjective and objective experimental results obtained from the tests by applying the underlined techniques to a process control for Chemical Vapor Decomposition.

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Document Details

Document Type
Technical Report
Publication Date
Aug 03, 1999
Accession Number
ADA366522

Entities

People

  • Jaihie Kim

Organizations

  • Yonsei University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Calibration
  • Chemical Vapor Deposition
  • Computer Vision
  • Computers
  • Control Systems
  • Detection
  • Emergencies
  • Errors
  • Human-Machine Interfaces
  • Network Computing
  • Neural Networks
  • Recognition
  • Rotation
  • User Interface
  • Vapor Deposition

Readers

  • Educational Psychology
  • Human-Computer Interaction (HCI).
  • Robotics and Automation.

Technology Areas

  • AI & ML