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

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-ba...

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Bibliographic Details
Main Authors: Chang, Wan-Jung, Chen, Liang-Bi, Ou, Yang-Kun, Liu, Jia-Hong, Shen, Bo-Yang, Lin, I-Chen, Tsai, Yin-Hsin
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Artificial intelligence (AI)
Conferences
Deep learning
edge compiting
health management
Internet of Things (IoT)
Mobile handsets
Personnel
Prototypes
Real-time systems
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Summary: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.
ISSN:2158-4001
DOI:10.1109/ICCE50685.2021.9427718