Evolving Emotion Recognition Module for Intelligent Agent

Created by W.Langdon from gp-bibliography.bib Revision:1.7989

@InProceedings{Yusuf:2014:IES,

• author = "Rahadian Yusuf and Ivan Tanev and Katsunori Shimohara",
• title = "Evolving Emotion Recognition Module for Intelligent Agent",
• booktitle = "Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2014) - Volume 2",
• year = "2015",
• editor = "Hisashi Handa and Hisao Ishibuchi and Yew-Soon Ong and Kay-Chen Tan",
• volume = "2",
• series = "Proceedings in Adaptation, Learning and Optimization",
• pages = "215--226",
• address = "Singapore",
• month = "10-12th " # nov,
• organisation = "Memetic Computing Society",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Emotion, Computer Agent, Evolutionary Algorithm",
• isbn13 = "978-3-319-13355-3",
• URL = "http://dx.doi.org/10.1007/978-3-319-13356-0_18",
• DOI = "doi:10.1007/978-3-319-13356-0_18",
• abstract = "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 recognise 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.",
• notes = "http://www.ies-2014.org/technical-programs.html",

}

Genetic Programming entries for Rahadian Yusuf Ivan T Tanev Katsunori Shimohara

Citations