Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring

Author:

Yordanova Kristina,Lüdtke Stefan,Whitehouse Samuel,Krüger Frank,Paiement Adeline,Mirmehdi MajidORCID,Craddock Ian,Kirste Thomas

Abstract

Wellbeing is often affected by health-related conditions. Among them are nutrition-related health conditions, which can significantly decrease the quality of life. We envision a system that monitors the kitchen activities of patients and that based on the detected eating behaviour could provide clinicians with indicators for improving a patient’s health. To be successful, such system has to reason about the person’s actions and goals. To address this problem, we introduce a symbolic behaviour recognition approach, called Computational Causal Behaviour Models (CCBM). CCBM combines symbolic representation of person’s behaviour with probabilistic inference to reason about one’s actions, the type of meal being prepared, and its potential health impact. To evaluate the approach, we use a cooking dataset of unscripted kitchen activities, which contains data from various sensors in a real kitchen. The results show that the approach is able to reason about the person’s cooking actions. It is also able to recognise the goal in terms of type of prepared meal and whether it is healthy. Furthermore, we compare CCBM to state-of-the-art approaches such as Hidden Markov Models (HMM) and decision trees (DT). The results show that our approach performs comparable to the HMM and DT when used for activity recognition. It outperformed the HMM for goal recognition of the type of meal with median accuracy of 1 compared to median accuracy of 0.12 when applying the HMM. Our approach also outperformed the HMM for recognising whether a meal is healthy with a median accuracy of 1 compared to median accuracy of 0.5 with the HMM.

Funder

Deutsche Forschungsgemeinschaft

Engineering and Physical Sciences Research Council

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Kitchen Activity Recognition: A Benchmark Study of the Rostock KTA Dataset;IEEE Access;2024

2. Vision-based approach to assess performance levels while eating;Machine Vision and Applications;2023-10-20

3. Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents;Knowledge and Information Systems;2023-10-03

4. TAO;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27

5. Challenges in Modelling Cooking Task Execution for User Assistance;Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence;2023-09-21

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