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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 7(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2367-2380
S&M1939 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2353 Published: July 30, 2019 Food Texture Estimation Using Robotic Mastication Simulator Equipped with Teeth and Tongue [PDF] Akihide Shibata, Ryoma Takahashi, Yuya Nagahata, Kou Kimura, Rina Shimizu, Mariko Hotta, Masami Inoue, and Mitsuru Higashimori (Received February 28, 2019; Accepted April 23, 2019) Keywords: food texture estimation, artificial mastication, pressure distribution measurement
In this paper, we propose a food texture estimation system using a robotic mastication simulator equipped with teeth and a tongue. On the basis of the human oral function, we first introduce the mastication robot with which we can measure biting force and tongue pressure simultaneously during artificial mastication. We then develop a texture estimation system that estimates the value of human sensory evaluation from feature values of measured data. Finally, we describe an experiment where textures of doughnuts are estimated. The experimental results suggest that the proposed method can accurately estimate the value of human sensory evaluation when using both the biting force and the tongue pressure.
Corresponding author: Akihide Shibata  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Akihide Shibata, Ryoma Takahashi, Yuya Nagahata, Kou Kimura, Rina Shimizu, Mariko Hotta, Masami Inoue, and Mitsuru Higashimori, Food Texture Estimation Using Robotic Mastication Simulator Equipped with Teeth and Tongue, Sens. Mater., Vol. 31, No. 7, 2019, p. 2367-2380. |
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