Most existing brain-computer Interfaces (BCIs) are designed to control a single assistive device, such as a wheelchair, a robotic arm or a prosthetic limb. However, many daily tasks require combined functions which can only be realized by integrating multiple robotic devices. Such integration raises the requirement of the control accuracy and is more challenging to achieve a reliable control compared with the single device case. In this study, we propose a novel hybrid BCI with high accuracy based on electroencephalogram (EEG) and electrooculogram (EOG) to control an integrated wheelchair robotic arm system. The user turns the wheelchair left/right by performing left/right hand motor imagery (MI), and generates other commands for the wheelchair and the robotic arm by performing eye blinks and eyebrow raising movements. Twenty-two subjects participated in a MI training session and five of them completed a mobile self-drinking experiment, which was designed purposely with high accuracy requirements. The results demonstrated that the proposed hBCI could provide satisfied control accuracy for a system that consists of multiple robotic devices, and showed the potential of BCI-controlled systems to be applied in complex daily tasks.


    Access

    Download


    Export, share and cite



    Title :

    An EEG-/EOG-based hybrid brain-computer interface: application on controlling an integrated wheelchair robotic arm system


    Contributors:
    Huang, Q (author) / Zhang, Z (author) / Yu, T (author) / He, S (author) / Li, Y (author)

    Publication date :

    2020-06-23



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Kinesthetic Motor Imagery Based Brain-Computer Interface for Power Wheelchair Manoeuvring

    T., Jackie / M.P., Paulraj / Adom, A.H. et al. | BASE | 2018

    Free access

    A robotic wheelchair

    Miller, David P. / Grant, Edward | NTRS | 1994


    A robotic wheelchair

    Miller, David / Grant, Edward | AIAA | 1994


    Robotic Arm Using Brain Computer Interface

    Alin Mathew / Della Paul / Dona Maria George et al. | BASE | 2019

    Free access

    Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials

    Kaufmann, Tobias / Herweg, Andreas / Kübler, Andrea | BASE | 2014

    Free access