iBuffet: A Deep Learning-Based Intelligent Calories Management System for Eating Buffet Meals

被引:2
|
作者
Chang, Wan-Jung [1 ]
Chen, Liang-Bi [2 ]
Ou, Yang-Kun [3 ]
Liu, Jia-Hong [1 ]
Shen, Bo-Yang [1 ]
Lin, I-Chen [1 ]
Tsai, Yin-Hsin [1 ]
机构
[1] Southern Taiwan Univ Sci & Technol, Dept Elect Engn, Tainan, Taiwan
[2] Natl Penghu Univ Sci & Technol, Dept Comp Sci & Informat Engn, Magong, Penghu, Taiwan
[3] Southern Taiwan Univ Sci & Technol, Dept Creat Prod Design, Tainan, Taiwan
关键词
Artificial intelligence (AI); edge compiting; deep learning; health management; Internet of Things (IoT);
D O I
10.1109/ICCE50685.2021.9427718
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose a deep learning-based intelligent calorie management system, named iBuffet, in which deep learning and IoT technologies are integrated for calorie management. The proposed iBuffet system comprises intelligent buffet table modules, a mobile device application, and a cloud-based platform. The purpose of the proposed iBuffet system is to improve the eating health of institutional personnel. By recording daily meal records and management to improve the health of institutional personnel. Moreover, the related information will be sent to the cloud-based platform to calculate a calorie value, allowing users to manage their health.
引用
收藏
页数:2
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