Touching the Void - Introducing CoST: Corpus of Social Touch

Merel Madeleine Jung, Ronald Walter Poppe, Mannes Poel, Dirk K.J. Heylen

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    39 Citations (Scopus)
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    Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remote communication automatic recognition of social touch is necessary. This paper introduces CoST: Corpus of Social Touch, a collection containing 7805 instances of 14 different social touch gestures. The gestures were performed in three variations: gentle, normal and rough, on a sensor grid wrapped around a mannequin arm. Recognition of the rough variations of these 14 gesture classes using Bayesian classifiers and Support Vector Machines (SVMs) resulted in an overall accuracy of 54% and 53%, respectively. Furthermore, this paper provides more insight into the challenges of automatic recognition of social touch gestures, including which gestures can be recognized more easily and which are more difficult to recognize.
    Original languageUndefined
    Title of host publicationProceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Number of pages8
    ISBN (Print)978-1-4503-2885-2
    Publication statusPublished - Nov 2014
    Event16th International Conference on Multimodal Interaction, ICMI 2014 - Istanbul, Turkey, Istanbul, Turkey
    Duration: 12 Nov 201416 Nov 2014
    Conference number: 16

    Publication series



    Conference16th International Conference on Multimodal Interaction, ICMI 2014
    Abbreviated titleICMI
    Other12-16 November 2014


    • EWI-25280
    • Touch gesture recognition
    • METIS-309648
    • Touch corpus
    • IR-93288
    • Social Touch

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