• DocumentCode
    3664464
  • Title

    Towards context based affective computing introduction to the third international CBAR 2015 workshop

  • Author

    Zakia Hammal;Merlin Teodosia Suarez

  • Author_Institution
    Robotics Institute, Carnegie Mellon University, Pittsburgh, USA
  • Volume
    3
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Affect communication and recognition is influenced by a number of contextual, social, and psychological factors. Personality and natural expressiveness of the individual, previous experiences, the ongoing task, and pre-existing relationships with the people involved helps individuals interpret and respond to social interactions. An important related issue to address in automatic affect recognition is how to take into account the contextual information and its influence on affect communication and recognition. Audiovisual indicators of affect need to be merged with contextual information to create a context-sensitive multimodal system for an objective measurement of affect.
  • Keywords
    "Context","Conferences","Context modeling","Feature extraction","Stress","Visualization","Emotion recognition"
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
  • Type

    conf

  • DOI
    10.1109/FG.2015.7284841
  • Filename
    7284841