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 language | English |
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Title of host publication | Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 |
Editors | Shushma Patel, Yingxu Wang, Witold Kinsner, Dilip Patel, Gabriele Fariello, Lotfi A. Zadeh |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 67-72 |
Number of pages | 6 |
ISBN (Electronic) | 9781479960811 |
DOIs | |
Publication status | Published - 16 Oct 2014 |
Externally published | Yes |
Event | 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 - London, United Kingdom Duration: 18 Aug 2014 → 20 Aug 2014 |
Publication series
Name | Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 |
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Conference
Conference | 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 |
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Country/Territory | United Kingdom |
City | London |
Period | 18/08/14 → 20/08/14 |
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