• DocumentCode
    3484210
  • Title

    A perception framework for supporting robots to recognize human better in Human-Robot interaction

  • Author

    Dohyung Kim ; Jaeyeon Lee ; Youngwoo Yoon ; Woo-han Yun ; Kyu-Dae Ban ; Ho-sub Yoon ; Jaehong Kim

  • Author_Institution
    Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    314
  • Lastpage
    315
  • Abstract
    This paper describes the reason that perception technology in HRI has not given high performance enough to be used for commercial service robots. As a practical solution for better performance of perception technology, we propose a perception framework with a dedicated perception engine called a perception demon. The demon in the proposed framework constantly collects evidences and analyses them better by combining various types of individual perception components. The proposed framework enables robot makers to easily get more reliable information on humans without concerns about optimizing perception components to their robots.
  • Keywords
    gesture recognition; human-robot interaction; robot vision; service robots; HRI; commercial service robots; dedicated perception engine; human recognition; human-robot interaction; perception component optimization; perception demon; perception framework; perception technology; robot makers; Face; Face recognition; Gesture recognition; Human-robot interaction; Robot sensing systems; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2013 IEEE
  • Conference_Location
    Gyeongju
  • ISSN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2013.6628508
  • Filename
    6628508