IDEAS home Printed from https://ideas.repec.org/a/hin/complx/8195893.html
   My bibliography  Save this article

Research on Home-Auxiliary Robot System Based on Characteristics of Human Physiological and Motion Signals

Author

Listed:
  • Fuwang Wang
  • Xiaolei Zhang
  • Rongrong Fu

Abstract

A home-auxiliary robot system based on characteristics of the electrooculogram (EOG) and tongue signal is developed in the current study, which can provide daily life assistance for people with physical mobility disabilities. It relies on five simple actions (blinking twice in a row, tongue extension, upward tongue rolling, and left and right eye movements) of the human head itself to complete the motions (moving up/down/left/right and double-click) of a mouse in the system screen. In this paper, the brain network and BP neural network algorithms are used to identify these five types of actions. The result shows that, for all subjects, their average recognition rates of eye blinks and tongue movements (tongue extension and upward tongue rolling) were 90.17%, 88.00%, and 89.83%, respectively, and after training, the subjects can complete the five types of movements in sequence within 12 seconds. It means that people with physical disabilities can use the system to quickly and accurately complete life self-help, which brings great convenience to their lives.

Suggested Citation

  • Fuwang Wang & Xiaolei Zhang & Rongrong Fu, 2020. "Research on Home-Auxiliary Robot System Based on Characteristics of Human Physiological and Motion Signals," Complexity, Hindawi, vol. 2020, pages 1-13, February.
    • Handle: RePEc:hin:complx:8195893
    DOI: 10.1155/2020/8195893
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/8195893.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2020/8195893.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/8195893?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:8195893. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.