• DocumentCode
    2060792
  • Title

    Research on sensing strategy for exoskeleton robot control

  • Author

    Tong Mu ; Xiaodong Zhang

  • Author_Institution
    Sch. of Engine & Energy, Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    546
  • Lastpage
    549
  • Abstract
    Recently, the human-machine exoskeleton system, which is a kind of wearable robot, has been widely developed for human body´s restoration and enhancement of motor function. The exoskeleton for assisting disabilities, performance enhancement, etc., however, has some limitations and shortcomings in the coordination between human action and external mechanical structure due to the single sensing method. In the paper, a new sensing strategy based on the gait planning, combined with EEG pre-judged subsystem, sEMG accurate sensing subsystem and optical correction subsystem, is proposed as a feasible solution. Instead of the passive control of exoskeleton robot, the intellisense system combined with multi-dimensional sensing information can ensure the motion coordination and accuracy, and will build a bridge for achieving the active control of the operator for the external mechanical structure.
  • Keywords
    electroencephalography; electromyography; gait analysis; human-robot interaction; intelligent robots; mobile robots; path planning; sensor fusion; wearable computers; EEG pre-judged subsystem; active control; electroencephalography; electromyography; exoskeleton robot control; external mechanical structure; gait planning; human action; human body restoration; human-machine exoskeleton system; intellisense system; motion accuracy; motion coordination; motor function enhancement; multidimensional sensing information; optical correction subsystem; passive control; sEMG accurate sensing subsystem; sensing strategy; wearable robot; Electroencephalography; Exoskeletons; Man machine systems; Robot kinematics; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6653945
  • Filename
    6653945