Towards estimation of cooking complexity: free-text annotations in the kitchen environment

Emma L. Tonkin, A S Bykowska, Hannah Berg, Ian J Craddock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Activity and decision-making around nutrition are important aspects of naturalistic human behaviour. This paper describes a participant-centric free-text annotation process intended to facilitate activity recognition in the kitchen environment. The resulting annotations are characterised. Data from the study are reviewed to establish the extent to which this annotation dataset and the sensor data it accompanies, including environmental, current and water usage, support estimation of meal complexity. Three metrics of meal complexity are identified. Finally, planned future work in this area is discussed.
Original languageEnglish
Title of host publicationProceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction
PublisherAssociation for Computing Machinery (ACM)
DOIs
Publication statusAccepted/In press - 16 Sep 2019

Structured keywords

  • Digital Health

Keywords

  • cooking complexity
  • sensor networks
  • social annotation

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  • Projects

    SPHERE2

    Craddock, I. J.

    1/10/1830/09/21

    Project: Research, Parent

    Cite this

    Tonkin, E. L., Bykowska, A. S., Berg, H., & Craddock, I. J. (Accepted/In press). Towards estimation of cooking complexity: free-text annotations in the kitchen environment. In Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction Association for Computing Machinery (ACM). https://doi.org/10.1145/3361684.3361690