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A Hands-free Human-Computer-Interface Platform for Paralyzed Patients Using a TENG-based Eyelash Motion Sensor.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
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    Summary

    This study introduces a new eye motion sensor using triboelectric nanogenerators (TENGs) for hands-free computer control. This technology enables individuals with disabilities to perform tasks like typing and coding, enhancing accessibility and job prospects.

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    Area of Science:

    • Biomedical Engineering
    • Materials Science
    • Human-Computer Interaction

    Background:

    • Individuals with physical disabilities often face challenges with daily tasks and limited employment opportunities due to mobility impairments.
    • Existing assistive technologies can be costly and inaccessible, creating a need for innovative solutions.
    • Triboelectric nanogenerators (TENGs) offer a promising avenue for developing novel sensors for human-computer interfaces (HCIs).

    Purpose of the Study:

    • To propose and demonstrate a novel eye motion sensor based on TENG technology.
    • To integrate this sensor into an HCI system for hands-free computer interaction.
    • To enable individuals with disabilities to perform complex tasks like computer programming.

    Main Methods:

    • Development of a TENG-based eye motion sensor utilizing the triboelectric effect between human hair and silicone.
    • Integration of the sensor into an HCI system for cursor control and virtual keyboard interaction.
    • Demonstration of hands-free typing and Python programming using the developed system.

    Main Results:

    • The eye motion sensor effectively recognizes eyelash movements.
    • Users can control the computer cursor and select characters from a virtual keyboard.
    • A user successfully wrote and executed a Python program for displaying a message, all without using their hands.

    Conclusions:

    • The developed TENG-based eye motion sensor provides a viable hands-free HCI solution for individuals with limited mobility.
    • This technology has the potential to improve computer accessibility and enhance programming skills for disabled individuals.
    • The innovation could lead to expanded job opportunities in IT and computer science for people with disabilities.