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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction
Publisher or commissioning bodyAssociation for Computing Machinery (ACM)
DOIs
DateAccepted/In press - 16 Sep 2019

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.

    Research areas

  • cooking complexity, sensor networks, social annotation

    Structured keywords

  • Digital Health

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