Emotion representation, analysis and synthesis in continuous space: A survey

Hatice Gunes, Björn Schuller, Maja Pantic, Roddy Cowie

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    179 Citations (Scopus)


    Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains as a challenge for automated systems as emotions are complex constructs with fuzzy boundaries and with substantial individual variations in expression and experience. Thus, a small number of discrete categories (e.g., happiness and sadness) may not reflect the subtlety and complexity of the affective states conveyed by such rich sources of information. Therefore, affective and behavioural computing researchers have recently invested increased effort in exploring how to best model, analyse, interpret and respond to the subtlety, complexity and continuity (represented along a continuum e.g., from -1 to +1) of affective behaviour in terms of latent dimensions (e.g., arousal, power and valence) and appraisals. Accordingly, this paper aims to present the current state of the art and the new challenges in automatic, dimensional and continuous analysis and synthesis of human emotional behaviour in an interdisciplinary perspective.
    Original languageUndefined
    Title of host publicationIEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Number of pages8
    ISBN (Print)978-1-4244-9140-7
    Publication statusPublished - Mar 2011
    Event9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011 - Santa Barbara, United States
    Duration: 21 Mar 201125 Mar 2011
    Conference number: 9

    Publication series

    PublisherIEEE Computer Society


    Conference9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011
    Abbreviated titleFG
    CountryUnited States
    CitySanta Barbara


    • METIS-285056
    • IR-79617
    • Databases
    • Humans
    • Computational modeling
    • Emotion Recognition
    • Speech
    • Visualization
    • EC Grant Agreement nr.: FP7/231287
    • EC Grant Agreement nr.: FP7/211486
    • EWI-21378
    • Speech synthesis

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