01515nas a2200229   4500000000100000000000100001008004100002260001200043653002400055653003600079653001500115653002300130100001200153700001500165700001400180245007200194856007400266300001000340490000600350520091500356022001401271       2011                            d  c12/201110aEmotion recognition10aBody posture recognition system10aMultimodal10aFacial recognition1 aP Metri1 aJ Ghorpade1 aA Butalia00aFacial Emotion Recognition Using Context  Based Multimodal Approach  uhttp://www.ijimai.org/journal/sites/default/files/IJIMAI20111_4_2.pdf  a12-150 v13 aEmotions play a crucial role in person to person interaction. In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers. The ability to understand human emotions is desirable for the computer in several applications especially by observing facial expressions. This paper explores a ways of human-computer interaction that enable the computer to be more aware of the user's emotional expressions we present a approach for the emotion recognition from a facial expression, hand and body posture. Our model uses multimodal emotion recognition system in which we use two different models for facial expression recognition and for hand and body posture recognition and then combining the result of both classifiers using a third classifier which give the resulting emotion. Multimodal system gives more accurate result than a signal or bimodal system.
  a1989-1660