A smart tableware-based meal information collection system using machine learning Online publication date: Thu, 09-May-2019
by Liyang Zhang; Kohei Kaiya; Hiroyuki Suzuki; Akio Koyama
International Journal of Web and Grid Services (IJWGS), Vol. 15, No. 2, 2019
Abstract: In recent years, due to lifestyle-related diseases, people have paid more and more attention to the management of healthy meals. Some meal management systems are entering people's lives gradually. Existing studies have found that the proper meal habits, such as a correct meal sequence, can help prevent disease to a certain extent. In this paper, we introduce the smart tableware consisting of an acceleration sensor and a pressure sensor to obtain meal information such as meal sequence and meal content automatically. Moreover, feature extraction is performed on the meal information captured by sensors, and the machine learning algorithms are used to analyse and process the information. Finally, the meal content and meal sequence are fed back to the user to help people prevent diseases affected by lifestyle habits such as obesity and diabetes. In the experiment, we compare a variety of different machine learning algorithms and analyse the experimental results.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook