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A text input system developed by using lips image recognition based LabVIEW for the seriously disabled.

S C Chen1, C L Shao, C K Liang

  • 1Institute of Electrical Engineering, Southern Taiwan University of Technology, Tainan, Taiwan.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
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This study introduces a novel text input system for individuals with severe disabilities, utilizing LabVIEW-based lip image recognition. The system translates lip movements into text, enhancing communication for the disabled.

Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Vision

Background:

  • Individuals with severe disabilities often face significant communication barriers.
  • Existing assistive technologies may not fully address the needs of all disabled individuals.
  • Lip movement analysis offers a potential non-invasive method for communication control.

Purpose of the Study:

  • To develop and implement a text input system for the seriously disabled.
  • To utilize lip image recognition for mouth-open and mouth-closed status detection.
  • To integrate this system with a Morse-code text input mechanism for enhanced communication.

Main Methods:

  • The system employs image processing techniques within LabVIEW to analyze the relative distance between upper and lower lips.

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  • A software subsystem identifies mouth-open or mouth-closed states.
  • A hardware subsystem uses the PC's parallel port to transmit recognized mouth status to a Morse-code text input system.

    • Main Results:

    • A functional text input system was successfully implemented by integrating the software and hardware subsystems.
    • The system accurately recognizes mouth status (open/closed) using lip image analysis.
    • The integrated system enables text input for users based on lip movements.

    Conclusions:

    • The developed lip image recognition system provides a viable text input method for the seriously disabled.
    • This technology has the potential to significantly improve communication accessibility for individuals with severe disabilities.
    • Further development could expand the application of this system in assistive technology.