• DocumentCode
    2993653
  • Title

    The architecture of human motion information acquisition system based on surface EMG

  • Author

    Wu, Jianfeng ; Wang, Haining ; Shi, Fuqian

  • Author_Institution
    Inst. of Modern Ind. Design, Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    1494
  • Lastpage
    1497
  • Abstract
    The architecture of human motion information acquisition system based on surface electromyography (EMG) was described. Motion information is one of the most important techniques in the intelligent assistant production design, and it is a basis for the assistant system to supply appropriate and necessary actions. Thinking of the characteristics of daily tasks, this system adopted surface EMG as signal source. Then, the motion recognition method based on multi-class support vector machine and the muscle force (joint torque) calculation algorithm based on muscle physiological model and geometric model are proposed. The experiments results proved the effectiveness of this system.
  • Keywords
    biomechanics; data acquisition; electromyography; image motion analysis; medical computing; medical image processing; daily tasks; geometric model; human motion information acquisition system; intelligent assistant production design; joint torque; motion recognition; multiclass support vector machine; muscle force calculation algorithm; muscle physiological model; surface EMG; surface electromyography; system architecture; Electroencephalography; Electromyography; Force control; Humans; Joints; Machine intelligence; Motion control; Muscles; Power system modeling; Solid modeling; Human Limb; Intelligent Assistant; Motion Information; Surface EMG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5374916
  • Filename
    5374916