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A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation

Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindere...

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Autores principales: Makhsous, Sepehr, Mohammad, Hashem M., Schenk, Jeannette M., Mamishev, Alexander V., Kristal, Alan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386919/
https://www.ncbi.nlm.nih.gov/pubmed/30700041
http://dx.doi.org/10.3390/s19030564
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author Makhsous, Sepehr
Mohammad, Hashem M.
Schenk, Jeannette M.
Mamishev, Alexander V.
Kristal, Alan R.
author_facet Makhsous, Sepehr
Mohammad, Hashem M.
Schenk, Jeannette M.
Mamishev, Alexander V.
Kristal, Alan R.
author_sort Makhsous, Sepehr
collection PubMed
description Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindered by the low accuracy of traditional dietary intake estimation methods used for portion size assessment. This paper presents the development and validation of a novel instrumentation system for measuring accurate dietary intake for diabetic patients. This instrument uses a mobile Structured Light System (SLS), which measures the food volume and portion size of a patient’s diet in daily living conditions. The SLS allows for the accurate determination of the volume and portion size of a scanned food item. Once the volume of a food item is calculated, the nutritional content of the item can be estimated using existing nutritional databases. The system design includes a volume estimation algorithm and a hardware add-on that consists of a laser module and a diffraction lens. The experimental results demonstrate an improvement of around 40% in the accuracy of the volume or portion size measurement when compared to manual calculation. The limitations and shortcomings of the system are discussed in this manuscript.
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spelling pubmed-63869192019-02-26 A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation Makhsous, Sepehr Mohammad, Hashem M. Schenk, Jeannette M. Mamishev, Alexander V. Kristal, Alan R. Sensors (Basel) Article Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindered by the low accuracy of traditional dietary intake estimation methods used for portion size assessment. This paper presents the development and validation of a novel instrumentation system for measuring accurate dietary intake for diabetic patients. This instrument uses a mobile Structured Light System (SLS), which measures the food volume and portion size of a patient’s diet in daily living conditions. The SLS allows for the accurate determination of the volume and portion size of a scanned food item. Once the volume of a food item is calculated, the nutritional content of the item can be estimated using existing nutritional databases. The system design includes a volume estimation algorithm and a hardware add-on that consists of a laser module and a diffraction lens. The experimental results demonstrate an improvement of around 40% in the accuracy of the volume or portion size measurement when compared to manual calculation. The limitations and shortcomings of the system are discussed in this manuscript. MDPI 2019-01-29 /pmc/articles/PMC6386919/ /pubmed/30700041 http://dx.doi.org/10.3390/s19030564 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Makhsous, Sepehr
Mohammad, Hashem M.
Schenk, Jeannette M.
Mamishev, Alexander V.
Kristal, Alan R.
A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title_full A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title_fullStr A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title_full_unstemmed A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title_short A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
title_sort novel mobile structured light system in food 3d reconstruction and volume estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386919/
https://www.ncbi.nlm.nih.gov/pubmed/30700041
http://dx.doi.org/10.3390/s19030564
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