• DocumentCode
    3670248
  • Title

    Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder?

  • Author

    Nor Haniza binti Mohd Khir;Marina Ismail;Nursuriati Jamil;Fariza Hanis Abdul Razak

  • Author_Institution
    Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia
  • fYear
    2014
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    The aim of this study is to investigate the ability of spatiotemporal gait analysis to identify the Autistic Spectrum Disorder child (ASD). Even though the interest in gait analysis is becoming popular among researchers these days, yet very few quantitative studies are done on children with autism. Since motor development is not influenced by both social and linguistic development, it is believed to be a probable bio-marker of autism. The spatiotemporal gait pattern is being explored to understand the difference it may bring upon in the future. Six findings from previous researches are reviewed and analyzed to understand the crucial factor involves in this research. From the literature review and critical analysis done, spatiotemporal gait analysis may be used to identify the ASD child because the gait patterns of ASD child are discovered to be different from normal children.
  • Keywords
    "Autism","Variable speed drives","Pediatrics"
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Manufacturing Automation (ROMA), 2014 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ROMA.2014.7295872
  • Filename
    7295872