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Slice&Dice: Recognizing Food Preparation Activities Using Embedded Accelerometers

Lookup NU author(s): Cuong Pham, Professor Patrick OlivierORCiD


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Within the context of an endeavor to provide situated support for people with cognitive impairments in the kitchen we developed and evaluated classifiers for recognizing 11 actions involved in food preparation Data was collected from 20 lay subjects using four specially designed kitchen utensils incorporating embedded 3-axis accelerometers Subjects were asked to prepare 1 mixed salad m our laboratory-based instrumented kitchen environment Video of each subject's food preparation activities were independently annotated by duce different. coders Several classifiers were trained and tested using these features With an overall accuracy of 82 9% our investigation demonstrated that a broad set, of food preparation actions can be reliably recognized using sensors embedded in kitchen utensils

Publication metadata

Author(s): Pham C, Olivier P

Editor(s): Tscheligi M; Mirlacher T; Meschtscherjakov A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Ambient Intelligence : European Conference, AmI 2009 ; Proceedings

Year of Conference: 2009

Pages: 34-43

Publisher: Springer-Verlag Berlin


DOI: 10.1007/978-3-642-05408-2_4

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science, Volume 5859

ISBN: 9783642054075