Continuous pain intensity estimation from facial expressions

Sebastian Kaltwang, Ognjen Rudovic, Maja Pantic

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

    145 Citations (Scopus)
    26 Downloads (Pure)

    Abstract

    Automatic pain recognition is an evolving research area with promising applications in health care. In this paper, we propose the first fully automatic approach to continuous pain intensity estimation from facial images. We first learn a set of independent regression functions for continuous pain intensity estimation using different shape (facial landmarks) and appearance (DCT and LBP) features, and then perform their late fusion. We show on the recently published UNBC-MacMaster Shoulder Pain Expression Archive Database that late fusion of the afore-mentioned features leads to better pain intensity estimation compared to feature-specific pain intensity estimation.
    Original languageEnglish
    Title of host publicationAdvances in Visual Computing
    Subtitle of host publication8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers
    EditorsGeorge Bebis, Richard Boyle, Bahram Parvin, Darko Koracin
    Place of PublicationBerlin, Germany
    PublisherSpringer
    Pages368-377
    Number of pages10
    VolumePart II
    ISBN (Electronic)978-3-642-33191-6
    ISBN (Print)978-3-642-33190-9
    DOIs
    Publication statusPublished - 16 Jul 2012
    Event8th International Symposium on Visual Computing, ISVC 2012 - Crete, Greece
    Duration: 16 Jul 201218 Jul 2012
    Conference number: 8

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume7432
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference8th International Symposium on Visual Computing, ISVC 2012
    Abbreviated titleISVC
    CountryGreece
    CityCrete
    Period16/07/1218/07/12

    Keywords

    • EWI-22978
    • METIS-296265
    • IR-84318
    • HMI-MI: MULTIMODAL INTERACTIONS

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  • Cite this

    Kaltwang, S., Rudovic, O., & Pantic, M. (2012). Continuous pain intensity estimation from facial expressions. In G. Bebis, R. Boyle, B. Parvin, & D. Koracin (Eds.), Advances in Visual Computing: 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers (Vol. Part II, pp. 368-377). (Lecture Notes in Computer Science; Vol. 7432). Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-33191-6_36