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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15823

Title: FoodBoard: Surface Contact Imaging for Food Recognition
Authors: Pham, Cuong
Jackson, Daniel
Bartindale, Tom
Plötz, Thomas
Olivier, Patrick
Issue Date: 2013
Publisher: ACM
Citation: Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 749-752
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%.
URI: http://hdl.handle.net/1942/15823
DOI: 10.1145/2493432.2493522
ISBN: 978-1-4503-1770-2
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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