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Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
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Towards Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke

Yogesh Kumar Meena, Hubert Cecotti, Kong Fatt Wong-Lin

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 12, 2018
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    Summary

    This study introduces an optimized Hindi virtual keyboard for disabled individuals using eye-tracking. The novel design significantly improves typing speed and usability for alternative communication.

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    Area of Science:

    • Assistive Technology
    • Human-Computer Interaction
    • Computational Linguistics

    Background:

    • Virtual keyboards and alternative communication devices aid disabled individuals.
    • Existing optimization methods for virtual keyboards lack script-specific details and multimodal access.
    • Gaze-controlled systems are crucial for users with motor impairments.

    Purpose of the Study:

    • To propose a novel method for optimizing virtual keyboard layouts for gaze-controlled systems.
    • To design and evaluate an optimized Hindi virtual keyboard using letter frequency and command selection time.
    • To assess the usability and efficiency of the optimized keyboard for individuals with disabilities.

    Main Methods:

    • Developed a novel optimization method combining letter frequency and command selection time for GUI layout.
    • Designed a Hindi virtual keyboard with 10 commands for 88 characters and text editing.
    • Evaluated five keyboard layouts with healthy participants and two best layouts with stroke patients using eye-tracking.

    Main Results:

    • The optimized layout demonstrated significantly superior typing performance.
    • High usability was achieved with an 87% System Usability Scale (SUS) score.
    • Low workload was reported, with a NASA Task Load Index (TLX) score of 17.

    Conclusions:

    • The proposed letter frequency and time-based optimized layout offers superior performance for gaze-controlled virtual keyboards.
    • This work presents the first optimized gaze-controlled Hindi virtual keyboard, enhancing communication for disabled users.
    • The optimization method is adaptable for virtual keyboards in other languages.