Individuality and user-specific approach in adaptive emotion recognition model

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

@InProceedings{Yusuf:2017:ICBAKE,
  author =       "Rahadian Yusuf and Dipak Gaire Sharma and 
                 Ivan Tanev and Katsunori Shimohara",
  booktitle =    "2017 International Conference on Biometrics and Kansei
                 Engineering (ICBAKE)",
  title =        "Individuality and user-specific approach in adaptive
                 emotion recognition model",
  year =         "2017",
  abstract =     "This study aims at developing an intelligent agent
                 that can recognise user-specific emotions and can
                 self-evolve. Previous studies have explored several
                 methods to develop the model and improve the results
                 while maintaining the feasibility of real-time
                 implementation for later stages. We evolved the emotion
                 recognition module by using Genetic Programming (GP)
                 and explored several optimisations. We investigated and
                 compared the evolution of a unique classifier (evolved
                 from data from a single specific subject only), the
                 evolution of a general classifier (evolved from data
                 from multiple subjects), and the evolution of an
                 adaptive classifier by implementing incremental GP
                 (evolved incrementally, first from multiple subjects
                 and then from a single specific subject). We conducted
                 the experiments by using the same budget in terms of
                 evolution sessions to obtain the best programs for a
                 fair comparison between general approach, user-specific
                 approach, and adaptive approach. We then performed
                 repeated experiments to verify the robustness of the
                 method. From the results, we concluded that, on an
                 average, adaptive approach not only resulted in faster
                 evolution time, but also achieved better accuracy in
                 emotion recognition.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICBAKE.2017.8090628",
  month =        sep,
  notes =        "Also known as \cite{8090628}",
}

Genetic Programming entries for Rahadian Yusuf Dipak Gaire Sharma Ivan T Tanev Katsunori Shimohara

Citations