• DocumentCode
    2594485
  • Title

    Anatomical model of the spinal nervous system and its application to the coordination analysis for motor learning support system

  • Author

    Otake, Mihoko ; Nakamura, Yoshihiko

  • Author_Institution
    Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan
  • fYear
    2005
  • fDate
    2-6 Aug. 2005
  • Firstpage
    3776
  • Lastpage
    3782
  • Abstract
    The motivation of this research is to compute internal perspective of humans through external observation. In this paper, we propose method for analyzing neural information through motion measurement. The method is on the bases of the anatomy and physiology of somatic and spinal nervous system. Muscles are classified by the innervated nerves originate from the spinal cord. The somatotopic organization inside the ventral horn of the spinal cord is utilized for topological structure of the spinal neural information. Time series of images which represent distribution of somatic information inside the spinal cord were successfully obtained through measurement and computation for sword swinging ´kesagiri´ motion. The coordination of the motion at spinal level was analyzed. The proposed method provides fundamental for motor learning support system.
  • Keywords
    behavioural sciences; learning systems; neurophysiology; physiological models; brain-computer interfaces; coordination analysis; human behavior analysis; kesagiri motion; motion measurement; motor learning support system; neural information analysis; neural model; neuroanatomy; somatic information; somatotopic organization; spinal cord; spinal nervous system; spinal neural information; sword swinging; Anatomy; Distributed computing; Humans; Information analysis; Motion measurement; Muscles; Nervous system; Physiology; Spinal cord; Time measurement; Brain-computer interfaces; human behavior analysis; neural model; neuroanatomy; spinal cord;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8912-3
  • Type

    conf

  • DOI
    10.1109/IROS.2005.1545086
  • Filename
    1545086