• DocumentCode
    678042
  • Title

    Development of an Autonomous Facial-Expression Monitoring System for Safe Work Environments

  • Author

    Arima, Masakazu ; Kii, Shotaro ; Murata, Kentaro

  • Author_Institution
    Dept. of Marine Syst. Eng., Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    3436
  • Lastpage
    3440
  • Abstract
    The purpose of this research is to develop an autonomous facial-expression monitoring system for elderly and/or disabled people who work at various kinds of facilities. The authors have established a system which follows one´s facial expression automatically. This system consists of Microsoft´s KINECT sensor and plural network cameras. The KINECT sensor has the ability to detect a subject´s posture and skeletal position in three dimensions. At least two network cameras are autonomously controlled so as to follow the subject´s face from different directions while walking around in the work space. The rest of the network cameras follow the subject´s activities by zoom out viewing. Field experiments were conducted in the Plant Factory Research Centre of Osaka Prefecture University, Japan. A disabled person´s face was followed by the system during work, and its effectiveness and validity demonstrated.
  • Keywords
    face recognition; handicapped aids; image sensors; occupational safety; Japan; Microsoft KINECT sensor; Osaka prefecture university; autonomous facial-expression monitoring system; disabled people; elderly people; network cameras; plant factory research centre; posture position; safe work environments; skeletal position; Biomedical monitoring; Cameras; Educational institutions; Face; Monitoring; Production facilities; Senior citizens; KII system; facial-expression monitoring system; human factors; plant factory; working environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.586
  • Filename
    6722339