Towards developing robust multimodal databases for emotion analysis

dc.contributor.authorQuirós-Ramírez, M. Alejandra
dc.contributor.authorPolikovsky, Senya
dc.contributor.authorKameda, Yoshinari
dc.contributor.authorOnisawa, Takehisa
dc.date.accessioned2019-01-09T11:23:39Z
dc.date.available2019-01-09T11:23:39Z
dc.date.issued2012-11eng
dc.description.abstractUnderstanding emotions can make the difference between succeeding and failing during communication. Several systems have been developed in the field of Affective Computing in order to understand emotions. Recently these systems focus into multimodal emotion recognition. The basis of each of these systems is emotion databases. Even though a lot of attention has been placed in capturing spontaneous emotion expressions, building an emotion database is a task with several challenges that are commonly neglected, namely: quality of the recordings, ground truth, multiple device recording, data labeling and context. In this paper we present a new spontaneous emotion database, with human-computer and human to human interactions. This database is composed by eight different synchronized signals, in four interaction tasks. Strategies on how to deal with emotion database construction challenges are explained in detail.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1109/SCIS-ISIS.2012.6505247eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/44482
dc.language.isoengeng
dc.subjectemotion recognition, microexpressions, facial expression, gestures, infrared image, spontaneous emotions, multimodal synchronizationeng
dc.subject.ddc004eng
dc.titleTowards developing robust multimodal databases for emotion analysiseng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{QuirosRamirez2012-11Towar-44482,
  year={2012},
  doi={10.1109/SCIS-ISIS.2012.6505247},
  title={Towards developing robust multimodal databases for emotion analysis},
  isbn={978-1-4673-2742-8},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems},
  pages={589--594},
  author={Quirós-Ramírez, M. Alejandra and Polikovsky, Senya and Kameda, Yoshinari and Onisawa, Takehisa}
}
kops.citation.iso690QUIRÓS-RAMÍREZ, M. Alejandra, Senya POLIKOVSKY, Yoshinari KAMEDA, Takehisa ONISAWA, 2012. Towards developing robust multimodal databases for emotion analysis. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems : SCIS/ISIS 2012. Kobe, Japan, 20. Nov. 2012 - 24. Nov. 2012. In: The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems. Piscataway, NJ: IEEE, 2012, pp. 589-594. ISBN 978-1-4673-2742-8. Available under: doi: 10.1109/SCIS-ISIS.2012.6505247deu
kops.citation.iso690QUIRÓS-RAMÍREZ, M. Alejandra, Senya POLIKOVSKY, Yoshinari KAMEDA, Takehisa ONISAWA, 2012. Towards developing robust multimodal databases for emotion analysis. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems : SCIS/ISIS 2012. Kobe, Japan, Nov 20, 2012 - Nov 24, 2012. In: The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems. Piscataway, NJ: IEEE, 2012, pp. 589-594. ISBN 978-1-4673-2742-8. Available under: doi: 10.1109/SCIS-ISIS.2012.6505247eng
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kops.conferencefield6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems : SCIS/ISIS 2012, 20. Nov. 2012 - 24. Nov. 2012, Kobe, Japandeu
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kops.sourcefield<i>The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems</i>. Piscataway, NJ: IEEE, 2012, pp. 589-594. ISBN 978-1-4673-2742-8. Available under: doi: 10.1109/SCIS-ISIS.2012.6505247deu
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source.titleThe 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systemseng

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