دانلود مقاله انگلیسی رایگان:به سمت استفاده در دسترس از شبکه های اجتماعی مبتنی بر تلفن های هوشمند از طریق رابط های مغز و کامپیوتر - 2019
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  • Towards an accessible use of smartphone-based social networks through brain-computer interfaces Towards an accessible use of smartphone-based social networks through brain-computer interfaces
    Towards an accessible use of smartphone-based social networks through brain-computer interfaces

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Towards an accessible use of smartphone-based social networks through brain-computer interfaces


    ترجمه فارسی عنوان مقاله:

    به سمت استفاده در دسترس از شبکه های اجتماعی مبتنی بر تلفن های هوشمند از طریق رابط های مغز و کامپیوتر


    منبع:

    Sciencedirect - Elsevier - Expert Systems With Applications, 120 (2019) 155-166: doi:10:1016/j:eswa:2018:11:026


    نویسنده:

    Víctor Martínez-Cagigal ∗, Eduardo Santamaría-Vázquez , Javier Gomez-Pilar , Roberto Hornero


    چکیده انگلیسی:

    This study presents an asynchronous P300-based Brain–Computer Interface (BCI) system for controlling social networking features of a smartphone. There are very few BCI studies based on these mobile devices and, to the best of our knowledge, none of them supports networking applications or are focused on an assistive context, failing to test their systems with motor-disabled users. Therefore, the aim of the present study is twofold: (i) to design and develop an asynchronous P300-based BCI system that allows users to control Twitter and Telegram in an Android device; and (ii) to test the usefulness of the developed system with a motor-disabled population in order to meet their daily communication needs. Row-col paradigm (RCP) is used in order to elicitate the P300 potentials in the scalp of the user, which are immediately processed for decoding the user’s intentions. The expert system integrates a decision-making stage that analyzes the attention of the user in real-time, providing a comprehensive and asynchronous control. These intentions are then translated into application commands and sent via Bluetooth to the mobile de- vice, which interprets them and provides visual feedback to the user. During the assessment, both quali- tative and quantitative metrics were obtained, and a comparison among other state-ofthe-art studies was performed as well. The system was tested with 10 healthy control subjects and 18 motor-disabled sub- jects, reaching average online accuracies of 92.3% and 80.6%, respectively. Results suggest that the system allows users to successfully control two socializing features of a smartphone, bridging the accessibility gap in these trending devices. Our proposal could become a useful tool within households, rehabilitation centers or even companies, opening up new ways to support the integration of motor-disabled people, and making an impact in their quality of life by improving personal autonomy and self-dependence.
    Keywords: Brain-computer interface (BCI) | Smartphones | Asynchronous control | Social networks | P300 Event-related potentials | Electroencephalography (EEG)


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 12
    حجم فایل: 1143 کیلوبایت

    قیمت: رایگان


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