• DocumentCode
    2924574
  • Title

    Fatigue detection using a pressure sensor chair

  • Author

    Nakane, Hisataka ; Toyama, Jun ; Kudo, Mineichi

  • Author_Institution
    Lab. for Pattern Recognition & Machine Learning, Hokkaido Univ., Sapporo, Japan
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    490
  • Lastpage
    495
  • Abstract
    Fatigue is considered a contributing factor to accidents and illnesses at work. Hence, detecting fatigue by routinely monitoring an individual´s person health is useful in preventing accidents and illnesses. There are many conventional methods for detecting fatigue; However, these methods require users to monitor the extent of their fatigue with gauges and instruments that can restrict users´ actions. On the other hand, fatigue detection using posturography can mitigate this problem. This study focuses on posturography in seated position, because sitting is quite a common action in daily life, and posturography in seated position can be measured without restricting the users´ movement. Posturography in seated position is measured when subjects sit on a chair attached to a pressure sensor sheet. We formed an assumption that the more tired a person is, the more rapidly the COP (center of pressure) converges toward a point. Based on this assumption, we investigated the difference between postural sway in seated position as subjects went from experiencing a condition of fatigue to non-fatigue. Experimental result showed that the COP for left-right axis for subjects experiencing fatigue converged earlier than for those experiencing non-fatigue.
  • Keywords
    accident prevention; fatigue; health care; pressure sensors; COP; accident prevention; fatigue detection; fatigue monitoring; person health; posturography; pressure sensor chair; routinely monitoring; Accidents; Fatigue; Laboratories; Monitoring; Muscles; Position measurement; Center of Pressure; Posturography; unrestricted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122646
  • Filename
    6122646