Evolving Emotion Recognition Module for Intelligent Agent

  • Rahadian YusufEmail author
  • Ivan Tanev
  • Katsunori Shimohara
Part of the Proceedings in Adaptation, Learning and Optimization book series (PALO, volume 2)


An emotion recognition module is crucial in designing a computer agent that is capable of interacting with emotional expressions. Under-standing user’s current emotion can be achieved by several methods, but current researches are either using still images, or sensors that are not pervasive. Usual approach is using a generalized classifier to recognize pattern of emotion features captured by sensors. Unlike most researches, this research focuses on pervasive sensors and a single user, using evolution algorithm. This research also discusses about the classifier evolutions using Genetic Programming, and comparing several directed evolutions in evolving the emotion recognition module.


Emotion Computer Agent Evolutionary Algorithm Genetic Programming 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rahadian Yusuf
    • 1
    Email author
  • Ivan Tanev
    • 1
  • Katsunori Shimohara
    • 1
  1. 1.Doshisha UniversityKyotoJapan

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