Evolving Emotion Recognition Module for Intelligent Agent
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Yusuf:2014:IES,
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author = "Rahadian Yusuf and Ivan Tanev and
Katsunori Shimohara",
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title = "Evolving Emotion Recognition Module for Intelligent
Agent",
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booktitle = "Proceedings of the 18th Asia Pacific Symposium on
Intelligent and Evolutionary Systems (IES 2014) -
Volume 2",
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year = "2015",
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editor = "Hisashi Handa and Hisao Ishibuchi and Yew-Soon Ong and
Kay-Chen Tan",
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volume = "2",
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series = "Proceedings in Adaptation, Learning and Optimization",
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pages = "215--226",
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address = "Singapore",
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month = "10-12th " # nov,
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organisation = "Memetic Computing Society",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Emotion,
Computer Agent, Evolutionary Algorithm",
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isbn13 = "978-3-319-13355-3",
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URL = "http://dx.doi.org/10.1007/978-3-319-13356-0_18",
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DOI = "doi:10.1007/978-3-319-13356-0_18",
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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.",
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notes = "http://www.ies-2014.org/technical-programs.html",
- }
Genetic Programming entries for
Rahadian Yusuf
Ivan T Tanev
Katsunori Shimohara
Citations