Cognitive reasoning and inferences through psychologically based personalised modelling of emotions using associative classifiers

Aladdin Ayesh, Miguel Arevalillo-Herraez, Francesc J. Ferri

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

10 Citations (Scopus)

Abstract

The development of Microsoft Kinect opened up the research field of computational emotions to a wide range of applications, such as learning environments, which are excellent candidates to trial computational emotions based algorithms but were never feasible for given consumer technologies. Whilst Kinect is accessible and affordable technology it comes with its' own additional challenges such as the limited number of extracted Action Units (AUs). This paper presents a new approach that attempts at finding patterns of interaction between AUs and each other on one hand and patterns that link the related AUs to a given emotion. In doing so, this paper presents the ground work necessary to reach a model for dynamically generating personified set of rules relating AUs and emotions implicitly encoding a person individuality in expressing emotions.

Original languageEnglish
Title of host publicationProceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014
EditorsShushma Patel, Yingxu Wang, Witold Kinsner, Dilip Patel, Gabriele Fariello, Lotfi A. Zadeh
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-72
Number of pages6
ISBN (Electronic)9781479960811
DOIs
Publication statusPublished - 16 Oct 2014
Externally publishedYes
Event13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 - London, United Kingdom
Duration: 18 Aug 201420 Aug 2014

Publication series

NameProceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014

Conference

Conference13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014
Country/TerritoryUnited Kingdom
CityLondon
Period18/08/1420/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Acknowledgement:
This work has been partially supported by the Spanish Ministry of Economy and Competitiveness through project TIN2011-29221-CO3-O2. The authors would also like to thanks the University of Valencia for the funding of the stay where this work was initiated and De Montfort University for the support.

Keywords

  • computational psychoanalysis
  • emotion modelling
  • Kinect
  • personified adaptive interfaces
  • sentiment analysis
  • user-centred emotion detection

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