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• [P437] Interactive Emotion Recognition Using Support vector Machine for Human-Robot Interaction
  Author(s): Ching-Chih Tsai, Ching-Wen Liao
  
  

  Abstract
  This paper develops an interactive emotion recognition system using support vector machine for human-robot interaction. The proposed emotion recognition algorithm is composed of Harr wavelet transform, principal component analysis (PCA) method, and support vector machine (SVM). This algorithm is shown effective and useful in achieving both face identification and facial expression recognition. The performance and merit of the proposed methods are exemplified by conducting several experiments on face identification, emotion recognition and interactive scenarios.

  
   

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