Requirements and software framework for adaptive multimodal affect recognition

Elena Vildjiounaite, Vesa Kyllönen, Olli Vuorinen, Satu-Marja Mäkelä, Tommi Keränen, Markus Niiranen, Jouni Knuutinen, Johannes Peltola

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

    1 Citation (Scopus)

    Abstract

    This work presents a software framework for real time multimodal affect recognition. The framework supports categorical emotional models and simultaneous classification of emotional states along different dimensions. The framework also allows to incorporate diverse approaches to multimodal fusion, proposed by the current state of the art, as well as to adapt to context-dependency of expressing emotions and to different application requirements. The results of using the framework in audio-video based emotion recognition of an audience of different shows (this is a useful information because emotions of co-located people affect each other) confirm the capability of the framework to provide desired functionalities conveniently and demonstrate that use of contextual information increases recognition accuracy. (21 refs.)
    Original languageEnglish
    Title of host publication2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4244-4799-2
    ISBN (Print)978-1-4244-4800-5
    DOIs
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    Event3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands
    Duration: 10 Sept 200912 Sept 2009

    Conference

    Conference3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
    Abbreviated titleACII 2009
    Country/TerritoryNetherlands
    CityAmsterdam
    Period10/09/0912/09/09

    Keywords

    • emotion recognition
    • labeling
    • mood

    Fingerprint

    Dive into the research topics of 'Requirements and software framework for adaptive multimodal affect recognition'. Together they form a unique fingerprint.

    Cite this