Automatic Interpretation of Affective Facial Expressions in the Context of Interpersonal Interaction

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Emilia I. Barakova and Roman Gorbunov and 
                 Matthias Rauterberg",
  journal =      "IEEE Transactions on Human-Machine Systems",
  title =        "Automatic Interpretation of Affective Facial
                 Expressions in the Context of Interpersonal
  year =         "2015",
  volume =       "45",
  number =       "4",
  pages =        "409--418",
  abstract =     "This paper proposes a method for interpretation of the
                 emotions detected in facial expressions in the context
                 of the events that cause them. The method was developed
                 to analyse the video recordings of facial expressions
                 depicted during a collaborative game played as a part
                 of the Mars-500 experiment. In this experiment, six
                 astronauts were isolated for 520 days in a space
                 station to simulate a flight to Mars. Seven
                 time-dependent components of facial expressions were
                 extracted from the video recordings of the experiment.
                 To interpret these dynamic components, we proposed a
                 mathematical model of emotional events. Genetic
                 programming was used to find the locations, types, and
                 intensities of the emotional events as well as the way
                 the recorded facial expressions represented reactions
                 to them. By classification of different statistical
                 properties of the data, we found that there are
                 significant relations between the facial expressions of
                 different crew members and a memory effect between the
                 collective emotional states of the crew members. The
                 model of emotional events was validated on previously
                 unseen video recordings of the astronauts. We
                 demonstrated that both genetic search and optimisation
                 of the parameters improve the accuracy of the proposed
                 model. This method is a step toward automating the
                 analysis of affective expressions in terms of the
                 cognitive appraisal theory of emotion, which relies on
                 the dependence of the expressed emotion on the causing
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/THMS.2015.2419259",
  ISSN =         "2168-2291",
  month =        aug,
  notes =        "Also known as \cite{7105880}",

Genetic Programming entries for Emilia I Barakova Roman Gorbunov Matthias Rauterberg