IDEAS home Printed from https://ideas.repec.org/a/igg/jse000/v1y2010i1p68-99.html
   My bibliography  Save this article

Automatic, Dimensional and Continuous Emotion Recognition

Author

Listed:
  • Hatice Gunes

    (Imperial College London, UK)

  • Maja Pantic

    (Imperial College London, UK and University of Twente, EEMCS, The Netherlands)

Abstract

Recognition and analysis of human emotions have attracted a lot of interest in the past two decades and have been researched extensively in neuroscience, psychology, cognitive sciences, and computer sciences. Most of the past research in machine analysis of human emotion has focused on recognition of prototypic expressions of six basic emotions based on data that has been posed on demand and acquired in laboratory settings. More recently, there has been a shift toward recognition of affective displays recorded in naturalistic settings as driven by real world applications. This shift in affective computing research is aimed toward subtle, continuous, and context-specific interpretations of affective displays recorded in real-world settings and toward combining multiple modalities for analysis and recognition of human emotion. Accordingly, this article explores recent advances in dimensional and continuous affect modeling, sensing, and automatic recognition from visual, audio, tactile, and brain-wave modalities.

Suggested Citation

  • Hatice Gunes & Maja Pantic, 2010. "Automatic, Dimensional and Continuous Emotion Recognition," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 1(1), pages 68-99, January.
    • Handle: RePEc:igg:jse000:v:1:y:2010:i:1:p:68-99
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jse.2010101605
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Yuyang & Bi, Kaiming & Zhao, Songnian & Ben-Arieh, David & Wu, Chih-Hang John, 2017. "Modeling individual fear factor with optimal control in a disease-dynamic system," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 531-545.
    2. Knof, Merlind & Heinisch, Judith S. & Kirchhoff, Jérôme & Rawal, Niyati & David, Klaus & Stryk, Oskar von & Stock-Homburg, Ruth, 2022. "Implications from Responsible Human-Robot Interaction with Anthropomorphic Service Robots for Design Science," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130085, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Stock-Homburg, Ruth & Kirchhoff, Jérôme & Heinisch, Judith S. & Ebert, Andreas & Busch, Philip & Rawal, Niyati & David, Klaus & Wendt, Janine & Spiecker gen. Döhmann, Indra & Stryk, Oskar von & Hannig, 2022. "Responsible Human-Robot Interaction with Anthropomorphic Service Robots: State of the Art of an Interdisciplinary Research Challenge," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130084, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jse000:v:1:y:2010:i:1:p:68-99. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.