Slice&Dice: Recognizing Food Preparation Activities Using Embedded Accelerometers

  • Cuong Pham
  • Patrick Olivier
Conference paper

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

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5859)
Cite this paper as:
Pham C., Olivier P. (2009) Slice&Dice: Recognizing Food Preparation Activities Using Embedded Accelerometers. In: Tscheligi M. et al. (eds) Ambient Intelligence. AmI 2009. Lecture Notes in Computer Science, vol 5859. Springer, Berlin, Heidelberg

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Cuong Pham
    • 1
  • Patrick Olivier
    • 1
  1. 1.Culture Lab, School of Computing ScienceNewcastle University 

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