Multispectral Food Classification and Caloric Estimation Using Convolutional Neural Networks

Multispectral Food Classification and Caloric Estimation Using Convolutional Neural Networks

Continuous monitoring and recording of the type and caloric content of ingested foods with a minimum of user intervention is very useful in preventing metabolic diseases and obesity. In this paper, automatic recognition of food type and caloric content was achieved via the use of multi-spectral imag...

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Bibliographic Details
Main Author: Ki-Seung Lee
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Foods
Subjects:
multispectral imaging
convolutional neural network
food analysis
non-invasive analysis
dietary assessment
data fusion
Online Access:https://www.mdpi.com/2304-8158/12/17/3212

Internet

https://www.mdpi.com/2304-8158/12/17/3212

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