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Healthy diet assessment mechanism based on fuzzy markup language for Japanese food

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Abstract

Owing to the change of our lifestyle, more people suffer from chronic diseases, such as obesity or diabetes. Making improvements in terms of diet and physical activity is helpful for people to reduce the risk of suffering from these chronic diseases. This paper presents a healthy diet assessment mechanism based on fuzzy markup language (FML) for Japanese food. This mechanism is based on the dietary standard, food exchange list (FEL), published by the Japan Diabetes Society, to assess one person’s dietary healthy level according to his/her personal profile, his/her daily physical activity, and how balanced he/she consumes food items. We use FML to describe the knowledge base and the rule base of the constructed fuzzy logic system. Additionally, ontology stores the necessary knowledge base and rule base of the adopted fuzzy inference mechanism. The proposed mechanism operates as follows: (i) Dieticians first define the nutrient facts of the collected food items. (ii) The involved subjects record their personal information, eaten food items, and daily physical activity. Through the constructed FML-based personal profile ontology, the estimated energy requirement and the estimated unit requirement for each food group are obtained after inference. (iii) Finally, one-day dietary healthy level is inferred by the proposed fuzzy inference mechanism. From the experimental results, the proposed mechanism is feasible to apply to Japanese dietary assessment. In the future, we will integrate with genetic learning algorithm and collect more subjects’ records to further improve the performance.

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Acknowledgments

This work was financially supported by the National Science Council of Taiwan under the grant NSC 98-2221-E-024-009-MY3 and NSC 101-2221-E-024-025. This work was also partially supported by Japanese KAKENHI-A (13370017).

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan

    Mei-Hui Wang & Chang-Shing Lee

  2. Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Kanta Kurozumi & Hiroshi Tsuji

  3. Department of Food Science, Otsuma Women’s University, Tokyo, Japan

    Mikiko Kawaguchi

  4. Department of Medical Informatics, Shimane University, Matsue, Japan

    Shusaku Tsumoto

Authors
  1. Mei-Hui Wang
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  2. Kanta Kurozumi
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  3. Mikiko Kawaguchi
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  4. Chang-Shing Lee
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  5. Hiroshi Tsuji
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  6. Shusaku Tsumoto
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Corresponding author

Correspondence to Chang-Shing Lee.

Additional information

Communicated by V. Loia.

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Wang, MH., Kurozumi, K., Kawaguchi, M. et al. Healthy diet assessment mechanism based on fuzzy markup language for Japanese food. Soft Comput 20, 359–376 (2016). https://doi.org/10.1007/s00500-014-1512-5

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  • DOI: https://doi.org/10.1007/s00500-014-1512-5

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