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JACIII Vol.22 No.1 pp. 97-103
doi: 10.20965/jaciii.2018.p0097
(2018)

Paper:

Healthy Eating Habits Support System Considering User Taste Preferences and Nutritional Balance

Yuta Hayashi*, Ryouta Oku*, Hiroshi Takenouchi**, and Masataka Tokumaru***

*Kansai University Graduate School
3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680, Japan

**Fukuoka Institute of Technology
3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka 811-0295, Japan

***Kansai University
3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680, Japan

Received:
November 2, 2016
Accepted:
October 16, 2017
Published:
January 20, 2018
Keywords:
eating habits support, user taste preferences, nutritional balance, interactive evolutionary computation
Abstract

We propose a Healthy Eating Habits Support System (HEHSS) which considers user taste preferences and nutritional balance. The proposed system comprises a Nutritional Management System (NMS) and a Kansei Retrieval System (KRS). The NMS generates nutritionally balanced menus using the tabu search method. The KRS learns user taste preferences through interaction with a user, and then uses this information to recommend appropriate menus for that user from those generated by the NMS. Consequently, the HEHSS recommends menus that consider nutritional balance and match the user’s taste preferences. Simulation results demonstrate that the HEHSS recommended menus that satisfied nutritional needs and learned a user’s taste preferences with greater than 80% accuracy when we focused on liked and disliked tastes after continuous use for a long period (approximately 2 months).

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Cite this article as:
Yuta Hayashi, Ryouta Oku, Hiroshi Takenouchi, and Masataka Tokumaru, “Healthy Eating Habits Support System Considering User Taste Preferences and Nutritional Balance,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.1, pp. 97-103, 2018
Yuta Hayashi, Ryouta Oku, Hiroshi Takenouchi, and Masataka Tokumaru, J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.1, pp. 97-103, 2018

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Last updated on Jun. 20, 2018