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Smart mobility solution with multiple input Output interface.

Aartika Sethi, Sujay Deb, Prabhat Ranjan

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    Summary
    This summary is machine-generated.

    This study presents a low-cost smart wheelchair system using smartphone sensors and an Emotiv EPOC+ headset for enhanced mobility control. The integrated solution offers improved functionality and efficiency for individuals with mobility impairments.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Technology
    • Human-Computer Interaction

    Background:

    • Smart wheelchairs offer mobility solutions but are often expensive and lack adaptability.
    • Existing systems face limitations in input flexibility and integrated functionalities.

    Purpose of the Study:

    • To develop an affordable and adaptable smart mobility solution for individuals with impaired mobility.
    • To integrate diverse input methods and additional smart functionalities into a single system.

    Main Methods:

    • Utilized a smartphone with built-in sensors (accelerometer, camera, speaker) as the primary input interface.
    • Incorporated an Emotiv EPOC+ headset for motor imagery and facial expression-based control for severe disabilities.
    • Integrated Internet of Things (IoT) and web interfaces for added functions like home security and automation.

    Main Results:

    • Preliminary results demonstrate the system's potential as an integrated and efficient solution.
    • The developed system achieved decent overall accuracy in controlling the smart wheelchair.
    • The proposed approach offers a cost-effective alternative to traditional smart wheelchairs.

    Conclusions:

    • The smartphone-integrated smart wheelchair system provides a viable and versatile solution for mobility impairment.
    • The system enhances user independence by offering extended functionality beyond basic mobility.
    • Further research can optimize accuracy and expand the range of integrated smart features.