• DocumentCode
    1687052
  • Title

    Human postures modeling using motion analysis: A review

  • Author

    Yaacob, Sazali B. ; Ismail, Ku Nor Syamimi Bt Ku ; Murugappan, M. ; Basah, Shafriza Nisha B

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Pedis, Malaysia
  • fYear
    2012
  • Firstpage
    280
  • Lastpage
    285
  • Abstract
    Human motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes involved in human motion analysis using computer vision-namely experimental protocol, data acquisition, data analysis and modeling. The posture adopted by the body during lifting task is thought to have a profound impact on low back. Otherwise, alteration of muscle pattern and biomechanical loads may show significant effects on human posture. The focus is on human posture modeling using motion analysis for lifting task will be investigated.
  • Keywords
    biomechanics; biomedical measurement; computer vision; data acquisition; image motion analysis; medical image processing; modelling; muscle; biomechanical loads; biomechanics; computer vision; data acquisition; data analysis; ergonomics; experimental protocol; human motion analysis; human posture modeling; human-computer interaction; lifting task; muscle pattern alteration; Cameras; Electromyography; Hidden Markov models; Humans; Mathematical model; Muscles; Predictive models; Human motion analysis; human posture; lifting task; model development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICoBE), 2012 International Conference on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4577-1990-5
  • Type

    conf

  • DOI
    10.1109/ICoBE.2012.6179021
  • Filename
    6179021