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

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

doi:10.1145/3361684.3361690

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 proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction
Publisher	Association for Computing Machinery (ACM)
DOIs	https://doi.org/10.1145/3361684.3361690
Publication status	Accepted/In press - 16 Sept 2019

Research Groups and Themes

Digital Health
SPHERE

Keywords

cooking complexity
sensor networks
social annotation

Access to Document

10.1145/3361684.3361690

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Persistent link

SPHERE2
Craddock, I. J. (Principal Investigator), Mirmehdi, M. (Co-Investigator), Piechocki, R. J. (Co-Investigator), Flach, P. A. (Co-Investigator), Oikonomou, G. (Co-Investigator), Burghardt, T. (Co-Investigator), Damen, D. (Co-Investigator), Santos-Rodriguez, R. (Co-Investigator), O'Kane, A. A. (Co-Investigator), McConville, R. (Co-Investigator), Masullo, A. (Co-Investigator) & Gooberman-Hill, R. (Co-Investigator)
1/10/18 → 31/01/23
Project: Research, Parent

Cite this

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title = "Towards estimation of cooking complexity: free-text annotations in the kitchen environment",

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.",

keywords = "cooking complexity, sensor networks, social annotation",

author = "Tonkin, {Emma L.} and Bykowska, {A S} and Hannah Berg and Craddock, {Ian J}",

year = "2019",

month = sep,

day = "16",

doi = "10.1145/3361684.3361690",

language = "English",

booktitle = "Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction",

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Towards estimation of cooking complexity: free-text annotations in the kitchen environment. / Tonkin, Emma L.; Bykowska, A S; Berg, Hannah et al.
Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction. Association for Computing Machinery (ACM), 2019.

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

TY - GEN

T1 - Towards estimation of cooking complexity

T2 - free-text annotations in the kitchen environment

AU - Tonkin, Emma L.

AU - Bykowska, A S

AU - Berg, Hannah

AU - Craddock, Ian J

PY - 2019/9/16

Y1 - 2019/9/16

N2 - 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.

AB - 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.

KW - cooking complexity

KW - sensor networks

KW - social annotation

U2 - 10.1145/3361684.3361690

DO - 10.1145/3361684.3361690

M3 - Conference Contribution (Conference Proceeding)

BT - Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction

PB - Association for Computing Machinery (ACM)

ER -

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

Abstract

Research Groups and Themes

Keywords

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SPHERE2

Cite this