• DocumentCode
    1838205
  • Title

    Head movements based control of an intelligent wheelchair in an indoor environment

  • Author

    Rechy-Ramirez, Ericka Janet ; Huosheng Hu ; McDonald-Maier, K.

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2012
  • fDate
    11-14 Dec. 2012
  • Firstpage
    1464
  • Lastpage
    1469
  • Abstract
    This paper presents a user-friendly human machine interface (HMI) for hands-free control of an electric powered wheelchair (EPW). Its two operation modes are based on head movements: Mode 1 uses only one head movement to give the commands, and Mode 2 employs four head movements. An EEG device, namely Emotiv EPOC, has been deployed in this HMI to obtain the head movement information of users. The proposed HMI is compared with the joystick control of an EPW in an indoor environment. The experimental results show that Control Mode 2 can be implemented at a fast speed reliably, achieving a mean time of 67.90 seconds for the two subjects. However, Control Mode 1 has inferior performance, achieving a mean time of 153.20 seconds for the two subjects although it needs only one head movement. It is clear that the proposed HMI can be effectively used to replace the traditional joystick control for disabled and elderly people.
  • Keywords
    electric vehicles; electroencephalography; handicapped aids; image motion analysis; indoor environment; interactive devices; machine control; man-machine systems; wheelchairs; EEG device; EPW; Emotiv EPOC; HMI; control modes; disabled people; elderly people; electric powered wheelchair; hands-free control; head movement based control; indoor environment; intelligent wheelchair; joystick control; user-friendly human machine interface; Emotiv; electric powered wheelchair; hands-free control; head movement detection; human machine interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-2125-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2012.6491175
  • Filename
    6491175