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 contributionpeer-review

16 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 - 2013
Externally publishedYes
Event2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013 - Zurich, Switzerland
Duration: 8 Sept 201312 Sept 2013

Publication series

NameUbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Conference

Conference2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013
Country/TerritorySwitzerland
CityZurich
Period8/09/1312/09/13

Keywords

  • Food recognition
  • Sensing surfaces
  • Ubicomp

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