Slice&Dice: recognizing food preparation activities using embedded accelerometers

Cuong Pham, Patrick Olivier

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28 Citations (Scopus)


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 a mixed salad in our laboratory-based instrumented kitchen environment. Video of each subject's food preparation activities were independently annotated by three 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.

Original languageEnglish
Title of host publicationAmbient Intelligence - European Conference, AmI 2009, Proceedings
Number of pages10
ISBN (Print)3642054072, 9783642054075
Publication statusPublished - 2009
Externally publishedYes
Event3rd European Conference on Ambient Intelligence, AmI 09 - Salzburg, Austria
Duration: 18 Nov 200921 Nov 2009

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd European Conference on Ambient Intelligence, AmI 09

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