Application of Deep Learning in Automated Meal Recognition

Jiaxiang Mao; Dat Tran; Wanli Ma; Nenad Naumovski; Jane Kellett; Elisa martinez-marroquin; Andrew Slattery

doi:10.1109/ssci47803.2020.9308482

Application of Deep Learning in Automated Meal Recognition

Jiaxiang Mao, Dat Tran, Wanli Ma, Nenad Naumovski, Jane Kellett, Elisa martinez-marroquin, Andrew Slattery

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Deep learning is a widely used data analysis tool and has its proven value in solving problems and challenges in data science. In the nutrition domain, automated recognition of meals is an essential task within the food quality control and diet management. Adequate food supply and precise distribution of nutrients are extremely important. The availability of deep learning to facilitate these tasks would improve a critical step of the meal service process. Therefore, the aim of this research is to study deep learning applications as automated meal recognition for patients at the Canberra Hospital, specifically using convolutional neural networks (CNN). The application of applying deep learning to food quality control are important in reducing human mistakes that may result to providing wrong foods to patients in the current food service at Canberra Hospital.

Original language	English
Title of host publication	2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Editors	Hussain Abbass, Carlos A. Coello Coello, Hemant Kumar Singh
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	58-63
Number of pages	6
ISBN (Electronic)	9781728125473
ISBN (Print)	9781728125480
DOIs	https://doi.org/10.1109/ssci47803.2020.9308482
Publication status	Published - 5 Jan 2021
Event	2020 IEEE Symposium Series on Computational Intelligence (SSCI) - Canberra, Canberra, Australia Duration: 1 Dec 2020 → 4 Dec 2020 http://www.ieeessci2020.org/

Publication series

Name	2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020

Conference

Conference	2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Abbreviated title	SSCI 2020
Country/Territory	Australia
City	Canberra
Period	1/12/20 → 4/12/20
Internet address	http://www.ieeessci2020.org/

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10.1109/ssci47803.2020.9308482

Cite this

Mao, J., Tran, D., Ma, W., Naumovski, N., Kellett, J., martinez-marroquin, E., & Slattery, A. (2021). Application of Deep Learning in Automated Meal Recognition. In H. Abbass, C. A. Coello Coello, & H. K. Singh (Eds.), 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 58-63). [9308482] (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ssci47803.2020.9308482

Mao, Jiaxiang ; Tran, Dat ; Ma, Wanli et al. / Application of Deep Learning in Automated Meal Recognition. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). editor / Hussain Abbass ; Carlos A. Coello Coello ; Hemant Kumar Singh. United States : IEEE, Institute of Electrical and Electronics Engineers, 2021. pp. 58-63 (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020).

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title = "Application of Deep Learning in Automated Meal Recognition",

abstract = "Deep learning is a widely used data analysis tool and has its proven value in solving problems and challenges in data science. In the nutrition domain, automated recognition of meals is an essential task within the food quality control and diet management. Adequate food supply and precise distribution of nutrients are extremely important. The availability of deep learning to facilitate these tasks would improve a critical step of the meal service process. Therefore, the aim of this research is to study deep learning applications as automated meal recognition for patients at the Canberra Hospital, specifically using convolutional neural networks (CNN). The application of applying deep learning to food quality control are important in reducing human mistakes that may result to providing wrong foods to patients in the current food service at Canberra Hospital.",

keywords = "CNN, Deep Learning, Food quality control, Food science",

author = "Jiaxiang Mao and Dat Tran and Wanli Ma and Nenad Naumovski and Jane Kellett and Elisa martinez-marroquin and Andrew Slattery",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2020 IEEE Symposium Series on Computational Intelligence (SSCI), SSCI 2020 ; Conference date: 01-12-2020 Through 04-12-2020",

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doi = "10.1109/ssci47803.2020.9308482",

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Mao, J, Tran, D , Ma, W , Naumovski, N , Kellett, J , martinez-marroquin, E & Slattery, A 2021, Application of Deep Learning in Automated Meal Recognition. in H Abbass, CA Coello Coello & HK Singh (eds), 2020 IEEE Symposium Series on Computational Intelligence (SSCI)., 9308482, 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 58-63, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australian Capital Territory, Australia, 1/12/20. https://doi.org/10.1109/ssci47803.2020.9308482

Application of Deep Learning in Automated Meal Recognition. / Mao, Jiaxiang; Tran, Dat ; Ma, Wanli et al.
2020 IEEE Symposium Series on Computational Intelligence (SSCI). ed. / Hussain Abbass; Carlos A. Coello Coello; Hemant Kumar Singh. United States: IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 58-63 9308482 (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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T1 - Application of Deep Learning in Automated Meal Recognition

AU - Mao, Jiaxiang

AU - Tran, Dat

AU - Ma, Wanli

AU - Naumovski, Nenad

AU - Kellett, Jane

AU - martinez-marroquin, Elisa

AU - Slattery, Andrew

PY - 2021/1/5

Y1 - 2021/1/5

N2 - Deep learning is a widely used data analysis tool and has its proven value in solving problems and challenges in data science. In the nutrition domain, automated recognition of meals is an essential task within the food quality control and diet management. Adequate food supply and precise distribution of nutrients are extremely important. The availability of deep learning to facilitate these tasks would improve a critical step of the meal service process. Therefore, the aim of this research is to study deep learning applications as automated meal recognition for patients at the Canberra Hospital, specifically using convolutional neural networks (CNN). The application of applying deep learning to food quality control are important in reducing human mistakes that may result to providing wrong foods to patients in the current food service at Canberra Hospital.

AB - Deep learning is a widely used data analysis tool and has its proven value in solving problems and challenges in data science. In the nutrition domain, automated recognition of meals is an essential task within the food quality control and diet management. Adequate food supply and precise distribution of nutrients are extremely important. The availability of deep learning to facilitate these tasks would improve a critical step of the meal service process. Therefore, the aim of this research is to study deep learning applications as automated meal recognition for patients at the Canberra Hospital, specifically using convolutional neural networks (CNN). The application of applying deep learning to food quality control are important in reducing human mistakes that may result to providing wrong foods to patients in the current food service at Canberra Hospital.

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ER -

Mao J, Tran D , Ma W , Naumovski N , Kellett J , martinez-marroquin E et al. Application of Deep Learning in Automated Meal Recognition. In Abbass H, Coello Coello CA, Singh HK, editors, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). United States: IEEE, Institute of Electrical and Electronics Engineers. 2021. p. 58-63. 9308482. (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020). doi: 10.1109/ssci47803.2020.9308482

Application of Deep Learning in Automated Meal Recognition

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