What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring

Kristina Yordanova; Samuel Whitehouse; Adeline Paiement; Majid Mirmehdi; Thomas Kirste; Ian Craddock

What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring

Kristina Yordanova
, Samuel Whitehouse
, Adeline Paiement
, Majid Mirmehdi
, Thomas Kirste
, Ian Craddock

Cabot Institute for the Environment

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

Abstract

Nutrition related health conditions can seriously decrease quality of life; a system able to monitor the kitchen activities and eating behaviour of patients could provide clinicians with important indicators for improving a patient's condition.
To achieve this, the system has to reason about the person's actions and goals.
To address this challenge, we present a behaviour recognition approach that relies on symbolic behaviour representation and probabilistic reasoning to recognise the person's actions, the type of meal being prepared and its potential impact on a patient's health.
We test our approach on a cooking dataset containing unscripted kitchen activities recorded with various sensors in a real kitchen.
The results show that the approach is able to recognise the sequence of executed actions and the prepared meal, to determine whether it is healthy, and to reason about the possibility of depression based on the type of meal.

Original language	English
Title of host publication	IEEE International Conference on Pervasive Computing and Communications
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Publication status	Published - 2017

Research Groups and Themes

Digital Health
SPHERE

Handle.net

Persistent link

SPHERE (EPSRC IRC)
Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)
1/10/13 → 30/09/18
Project: Research, Parent

Cite this

@inproceedings{b007e015a3f643d49741340efffa7ad8,

title = "What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring",

abstract = "Nutrition related health conditions can seriously decrease quality of life; a system able to monitor the kitchen activities and eating behaviour of patients could provide clinicians with important indicators for improving a patient's condition. To achieve this, the system has to reason about the person's actions and goals. To address this challenge, we present a behaviour recognition approach that relies on symbolic behaviour representation and probabilistic reasoning to recognise the person's actions, the type of meal being prepared and its potential impact on a patient's health. We test our approach on a cooking dataset containing unscripted kitchen activities recorded with various sensors in a real kitchen. The results show that the approach is able to recognise the sequence of executed actions and the prepared meal, to determine whether it is healthy, and to reason about the possibility of depression based on the type of meal.",

author = "Kristina Yordanova and Samuel Whitehouse and Adeline Paiement and Majid Mirmehdi and Thomas Kirste and Ian Craddock",

year = "2017",

language = "English",

booktitle = "IEEE International Conference on Pervasive Computing and Communications",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring. / Yordanova, Kristina; Whitehouse, Samuel; Paiement, Adeline et al.
IEEE International Conference on Pervasive Computing and Communications. Institute of Electrical and Electronics Engineers (IEEE), 2017.

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

TY - GEN

T1 - What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring

AU - Yordanova, Kristina

AU - Whitehouse, Samuel

AU - Paiement, Adeline

AU - Mirmehdi, Majid

AU - Kirste, Thomas

AU - Craddock, Ian

PY - 2017

Y1 - 2017

N2 - Nutrition related health conditions can seriously decrease quality of life; a system able to monitor the kitchen activities and eating behaviour of patients could provide clinicians with important indicators for improving a patient's condition. To achieve this, the system has to reason about the person's actions and goals. To address this challenge, we present a behaviour recognition approach that relies on symbolic behaviour representation and probabilistic reasoning to recognise the person's actions, the type of meal being prepared and its potential impact on a patient's health. We test our approach on a cooking dataset containing unscripted kitchen activities recorded with various sensors in a real kitchen. The results show that the approach is able to recognise the sequence of executed actions and the prepared meal, to determine whether it is healthy, and to reason about the possibility of depression based on the type of meal.

AB - Nutrition related health conditions can seriously decrease quality of life; a system able to monitor the kitchen activities and eating behaviour of patients could provide clinicians with important indicators for improving a patient's condition. To achieve this, the system has to reason about the person's actions and goals. To address this challenge, we present a behaviour recognition approach that relies on symbolic behaviour representation and probabilistic reasoning to recognise the person's actions, the type of meal being prepared and its potential impact on a patient's health. We test our approach on a cooking dataset containing unscripted kitchen activities recorded with various sensors in a real kitchen. The results show that the approach is able to recognise the sequence of executed actions and the prepared meal, to determine whether it is healthy, and to reason about the possibility of depression based on the type of meal.

M3 - Conference Contribution (Conference Proceeding)

BT - IEEE International Conference on Pervasive Computing and Communications

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

What's Cooking and Why? Behaviour Recognition During Unscripted Cooking Tasks for Health Monitoring

Abstract

Research Groups and Themes

Handle.net

Fingerprint

Projects

SPHERE (EPSRC IRC)

Cite this