• DocumentCode
    710928
  • Title

    EOG based virtual keyboard

  • Author

    Teja, S. Sai Surya ; Embrandiri, Sharat S. ; Chandrachoodan, Nitin ; Reddy M, Ramasubba

  • Author_Institution
    Bio-Med. Eng. Group, Dept. of Appl. Mech., IIT Madras, Chennai, India
  • fYear
    2015
  • fDate
    17-19 April 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, an EOG based assistive system for typing text using a virtual keyboard is presented. An indigenously developed acquisition system based on arduino interfaced ADS1299 with a wearable dry electrode mask is used to record and process EOG signals. An accuracy of 100% and an average speed of 1 char/12 sec was achieved by an untrained person in online implementation of this system. This can be further improvised by word prediction algorithms.
  • Keywords
    biomedical electrodes; electro-oculography; keyboards; medical signal detection; virtual reality; word processing; EOG based assistive system; EOG signals; acquisition system; arduino interfaced ADS1299; online implementation; text typing; virtual keyboard; wearable dry electrode mask; word prediction algorithms; Accuracy; Algorithm design and analysis; Classification algorithms; Electrodes; Electrooculography; Keyboards; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
  • Conference_Location
    Troy, NY
  • Print_ISBN
    978-1-4799-8358-2
  • Type

    conf

  • DOI
    10.1109/NEBEC.2015.7117201
  • Filename
    7117201