• DocumentCode
    3563725
  • Title

    ConBe robot: The development of self-perception and expression in face-to-face interaction

  • Author

    Chumkamon, Sakmongkon ; Hayashi, Eiji

  • Author_Institution
    Dept. of Inf. Syst., Kyushu Inst. of Technol., Fukuoka, Japan
  • fYear
    2014
  • Firstpage
    769
  • Lastpage
    775
  • Abstract
    In social robot development of interaction system robot, it is necessary to develop the fundamental function such as the robot perception. Due to the robot should correctly interpret a behavior or mental expression of the human. If the robot has a good emotional insight of the human, it is the advantage for the robot perception. In this paper, we implement the significant technique that take an advantage to the robot such as the human detection, face detection and recognition. Basically, these techniques could further enable the robot capability of intelligent empathy from the expression of human. We intensively study the vision method for facial expression recognition (FER) to understanding the human emotion and interacting by the robot expression in particular case. The robot interaction is based on the interested person that the robot can recognize with their emotional expression. We also experiment the system in term of face-to-face between robot and user with demonstrate using the head robot along with the result, such as the performance of the perception and the behavior expression of the robot.
  • Keywords
    emotion recognition; face recognition; human-robot interaction; robot vision; ConBe robot; FER; face detection; face-to-face interaction; facial expression recognition; human detection; human emotion; social robot development; facial expression recognition; human-robot interaction; social robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044703
  • Filename
    7044703