• DocumentCode
    1894558
  • Title

    Expression Recognition Based on BP Neural Network

  • Author

    Chang Liu ; Jian-zheng Liu

  • Author_Institution
    Sch. of Educ. & Inf. Technol., Tianjin Foreign Studies Univ., Tianjin, China
  • Volume
    1
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    89
  • Lastpage
    93
  • Abstract
    The way computers interact with humans is changing with the continuous development of computer technology in the field of affective computing. A human facial expression is the formation of facial muscle movement. In our previous research, we had proposed a method of identifying facial muscle movement which based on motion templates and Gentle Boost. But the method was not robust enough to recognize human expression. So in this paper, we present an approach to solve the problem. The approach is based on our previous work and BP neural network. Tests in our laboratory have been conducted and the results have proved that the method presented in this paper can solve the problem encountered in our previous research.
  • Keywords
    backpropagation; face recognition; neural nets; BP neural network; GentleBoost; affective computing; computer technology; continuous development; facial expression; facial muscle movement identification; human expression recognition; motion templates; Biological neural networks; Facial muscles; Humans; Mouth; Neurons; Training; BP neural network; Expression; MHI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.227
  • Filename
    6187834