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

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
EventUbiquitous Computing 2013 - Zurich, Switzerland
Duration: 8 Sep 201312 Sep 2013

Conference

ConferenceUbiquitous Computing 2013
Abbreviated titleUbiComp 2013
CountrySwitzerland
CityZurich
Period8/09/1312/09/13

Keywords

  • Food recognition
  • Sensing surfaces
  • Ubicomp

Cite this

Pham, C., Jackson, D., Schöning, J., Bartindale, T., Plötz, T., & Olivier, P. (2013). FoodBoard: Surface contact imaging for food recognition. In UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 749-752) https://doi.org/10.1145/2493432.2493522
Pham, Cuong ; Jackson, Daniel ; Schöning, Johannes ; Bartindale, Tom ; Plötz, Thomas ; Olivier, Patrick. / FoodBoard : Surface contact imaging for food recognition. UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2013. pp. 749-752
@inproceedings{18184c5a814f44618f703338de0ce901,
title = "FoodBoard: Surface contact imaging for food recognition",
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{\%}.",
keywords = "Food recognition, Sensing surfaces, Ubicomp",
author = "Cuong Pham and Daniel Jackson and Johannes Sch{\"o}ning and Tom Bartindale and Thomas Pl{\"o}tz and Patrick Olivier",
year = "2013",
month = "10",
day = "15",
doi = "10.1145/2493432.2493522",
language = "English",
isbn = "9781450317702",
pages = "749--752",
booktitle = "UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing",

}

Pham, C, Jackson, D, Schöning, J, Bartindale, T, Plötz, T & Olivier, P 2013, FoodBoard: Surface contact imaging for food recognition. in UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. pp. 749-752, Ubiquitous Computing 2013, Zurich, Switzerland, 8/09/13. https://doi.org/10.1145/2493432.2493522

FoodBoard : Surface contact imaging for food recognition. / Pham, Cuong; Jackson, Daniel; Schöning, Johannes; Bartindale, Tom; Plötz, Thomas; Olivier, Patrick.

UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2013. p. 749-752.

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

TY - GEN

T1 - FoodBoard

T2 - Surface contact imaging for food recognition

AU - Pham, Cuong

AU - Jackson, Daniel

AU - Schöning, Johannes

AU - Bartindale, Tom

AU - Plötz, Thomas

AU - Olivier, Patrick

PY - 2013/10/15

Y1 - 2013/10/15

N2 - 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%.

AB - 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%.

KW - Food recognition

KW - Sensing surfaces

KW - Ubicomp

UR - http://www.scopus.com/inward/record.url?scp=84885196166&partnerID=8YFLogxK

U2 - 10.1145/2493432.2493522

DO - 10.1145/2493432.2493522

M3 - Conference Paper

SN - 9781450317702

SP - 749

EP - 752

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

ER -

Pham C, Jackson D, Schöning J, Bartindale T, Plötz T, Olivier P. FoodBoard: Surface contact imaging for food recognition. In UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2013. p. 749-752 https://doi.org/10.1145/2493432.2493522