Smile to save it: facial expressions for lifelogging

Hanna Venesvirta, Oleg Špakov, Yulia Gizatdinova, Outi Tuisku, Ville Rantanen, Jarmo Verho, Akos Vetek, Jukka Lekkala, Veikko Surakka

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

    1 Citation (Scopus)
    16 Downloads (Pure)

    Abstract

    Current aim was to introduce and initially evaluate the performance of a system called Extended Cognition, which was developed for enhancing the filtering of emotionally meaningful information from visual lifelogging data. The system is proposed to add facial expression markers to the stream of visual lifelogging data in order to later find special, possibly emotionally meaningful moments from the data. In an initial user study we collected subjective evaluations (N=10) about the ergonomics of the data measurement setup and the use of voluntary smiles and frowns for adding markers. Experience evaluations about the system were also collected. Results showed that data measurement setup was ergonomic to use and the system was evaluated positively. Smiling was rated as pleasant, natural, and functional expression for data marking purposes. Participants considered that, for example, the system would support memorization, and that it could be used to share important memories with others.
    Original languageEnglish
    Title of host publicationProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia
    PublisherACM
    Pages441-448
    ISBN (Electronic)978-1-4503-5378-6
    DOIs
    Publication statusPublished - 2017
    Publication typeA4 Article in a conference publication
    EventINTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA -
    Duration: 1 Jan 2017 → …

    Conference

    ConferenceINTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA
    Period1/01/17 → …

    Keywords

    • affective computing
    • expression detection
    • lifelogging

    Publication forum classification

    • Publication forum level 1

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