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Continuous Analysis of Affect from Voice and Face

  • Chapter
Computer Analysis of Human Behavior

Abstract

Human affective behavior is multimodal, continuous and complex. Despite major advances within the affective computing research field, modeling, analyzing, interpreting and responding to human affective behavior still remains a challenge for automated systems. Therefore, affective and behavioral computing researchers have recently invested increased effort in exploring how to best model, analyze and interpret the subtlety, complexity and continuity of affective behavior in terms of latent dimensions (e.g., arousal, power and valence) and appraisals, rather than in terms of a small number of discrete emotion categories (e.g., happiness and sadness). This chapter aims to (i) give a brief overview of the existing efforts and the major accomplishments in modeling and analysis of emotional expressions in dimensional and continuous space while focusing on open issues and new challenges in the field, and (ii) introduce a representative approach for multimodal continuous analysis of affect from voice and face.

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Notes

  1. 1.

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Acknowledgements

This work has been funded by EU [FP7/2007-2013] Grant agreement No. 211486 (SEMAINE) and the ERC Starting Grant agreement No. ERC-2007-StG-203143 (MAHNOB).

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Authors and Affiliations

  1. Queen Mary University of London, London, UK

    Hatice Gunes

  2. Imperial College, London, UK

    Mihalis A. Nicolaou & Maja Pantic

  3. University of Twente, Twente, The Netherlands

    Maja Pantic

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Correspondence to Hatice Gunes .

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Editors and Affiliations

  1. Department of Computer Engineering, Boğaziçi University, Bebek, 34342, Istanbul, Turkey

    Albert Ali Salah

  2. Informatics Institute, University of Amsterdam, Science Park 904, Amsterdam, 1098 XH, Netherlands

    Theo Gevers

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© 2011 Springer-Verlag London Limited

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Gunes, H., Nicolaou, M.A., Pantic, M. (2011). Continuous Analysis of Affect from Voice and Face. In: Salah, A., Gevers, T. (eds) Computer Analysis of Human Behavior. Springer, London. https://doi.org/10.1007/978-0-85729-994-9_10

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  • DOI: https://doi.org/10.1007/978-0-85729-994-9_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-993-2

  • Online ISBN: 978-0-85729-994-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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