FoodBoard: Surface contact imaging for food recognition

Cuong Pham, Daniel Jackson, Johannes Schöning, Tom Bartindale, Thomas Plötz, Patrick Olivier

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

    14 Citations (Scopus)

    Abstract

    We describe FoodBoard, an instrumented chopping board that uses optical fibers and embedded camera imaging to identify unpackaged ingredients during food preparation on its surface. By embedding the sensing directly, and robustly, in the surface of a chopping board we also demonstrate how surface contact optical sensing can be used to realize the portability and privacy required of technology used in a setting such as a domestic kitchen. FoodBoard was subjected to a close to real-world evaluation in which 12 users prepared actual meals. FoodBoard compared favourably with existing unpackaged food recognition systems, classifying a larger number of distinct food ingredients (12 incl. meat, fruit, vegetables) with an average accuracy of 82.8%.

    Original languageEnglish
    Title of host publicationUbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing
    Pages749-752
    Number of pages4
    DOIs
    Publication statusPublished - 15 Oct 2013
    EventACM International Joint Conference on Pervasive and Ubiquitous Computing 2013 - Zurich, Switzerland
    Duration: 8 Sep 201312 Sep 2013

    Conference

    ConferenceACM International Joint Conference on Pervasive and Ubiquitous Computing 2013
    Abbreviated titleUbiComp 2013
    CountrySwitzerland
    CityZurich
    Period8/09/1312/09/13

    Keywords

    • Food recognition
    • Sensing surfaces
    • Ubicomp

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