A mobile augmented reality system for portion estimation

T. Stütz; R. Dinic; M. Domhardt; S. Ginzinger

doi:10.1109/ISMAR.2014.6948496

A mobile augmented reality system for portion estimation

T. Stütz, R. Dinic, M. Domhardt, S. Ginzinger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Accurate assessment of nutrition information is an important part in the prevention and treatment of a multitude of diseases, but remains a challenging task. We present a novel mobile augmented reality application, which assists users in the nutrition assessment of their meals. The user sketches the 3D form of the food and selects the food type. The corresponding nutrition information is automatically computed. © 2014 IEEE.

Original language	English
Title of host publication	2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	375-376
Number of pages	2
ISBN (Electronic)	978-1-4799-6184-9
DOIs	https://doi.org/10.1109/ISMAR.2014.6948496
Publication status	Published - 2014
Event	13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014 - Munich, Germany Duration: 10 Sept 2014 → 12 Sept 2014

Conference

Conference	13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014
Abbreviated title	ISMAR 2014
Country/Territory	Germany
City	Munich
Period	10/09/14 → 12/09/14

Keywords

augmented
H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems - Artificial
I.4.9 [Image Processing and Computer Vision]: Applications
J.3 [Computer Applications]
Life and medical Sciences - Health
virtual realities
Augmented reality
Computer vision
Image processing
Medical image processing
Medical imaging
Nutrition
Virtual reality
Image processing and computer vision
Life and medical science
Medical information systems

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10.1109/ISMAR.2014.6948496

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945162375&doi=10.1109%2fISMAR.2014.6948496&partnerID=40&md5=a8204b3077e8e07bcc3c7f7c324f5913

Cite this

@inproceedings{308edc987c404936acec890574bece58,

title = "A mobile augmented reality system for portion estimation",

abstract = "Accurate assessment of nutrition information is an important part in the prevention and treatment of a multitude of diseases, but remains a challenging task. We present a novel mobile augmented reality application, which assists users in the nutrition assessment of their meals. The user sketches the 3D form of the food and selects the food type. The corresponding nutrition information is automatically computed. {\textcopyright} 2014 IEEE.",

keywords = "augmented, H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems - Artificial, I.4.9 [Image Processing and Computer Vision]: Applications, J.3 [Computer Applications], Life and medical Sciences - Health, virtual realities, Augmented reality, Computer vision, Image processing, Medical image processing, Medical imaging, Nutrition, Virtual reality, Image processing and computer vision, Life and medical science, Medical information systems",

author = "T. St{\"u}tz and R. Dinic and M. Domhardt and S. Ginzinger",

note = "Conference code: 115641 Cited By :2 Export Date: 14 December 2023 References: Schap, T.E., Six, B.L., Delp, E.J., Ebert, D.S., Kerr, D.A., Boushey, C.J., Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions (2011) Public Health Nutrition, 14 (7), pp. 1184-1191; Withrow, D., Alter, D.A., The economic burden of obesity world-wide: A systematic review of the direct costs of obesity (2011) Obesity Reviews : An Official Journal of the International Association for the Study of Obesity, 12 (2), pp. 131-141; 13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014, ISMAR 2014 ; Conference date: 10-09-2014 Through 12-09-2014",

year = "2014",

doi = "10.1109/ISMAR.2014.6948496",

language = "English",

pages = "375--376",

booktitle = "2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Stütz, T, Dinic, R, Domhardt, M & Ginzinger, S 2014, A mobile augmented reality system for portion estimation. in 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Institute of Electrical and Electronics Engineers Inc., pp. 375-376, 13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014, Munich, Bavaria, Germany, 10/09/14. https://doi.org/10.1109/ISMAR.2014.6948496

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AU - Stütz, T.

AU - Dinic, R.

AU - Domhardt, M.

AU - Ginzinger, S.

N1 - Conference code: 115641 Cited By :2 Export Date: 14 December 2023 References: Schap, T.E., Six, B.L., Delp, E.J., Ebert, D.S., Kerr, D.A., Boushey, C.J., Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions (2011) Public Health Nutrition, 14 (7), pp. 1184-1191; Withrow, D., Alter, D.A., The economic burden of obesity world-wide: A systematic review of the direct costs of obesity (2011) Obesity Reviews : An Official Journal of the International Association for the Study of Obesity, 12 (2), pp. 131-141

PY - 2014

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AB - Accurate assessment of nutrition information is an important part in the prevention and treatment of a multitude of diseases, but remains a challenging task. We present a novel mobile augmented reality application, which assists users in the nutrition assessment of their meals. The user sketches the 3D form of the food and selects the food type. The corresponding nutrition information is automatically computed. © 2014 IEEE.

KW - augmented

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KW - I.4.9 [Image Processing and Computer Vision]: Applications

KW - J.3 [Computer Applications]

KW - Life and medical Sciences - Health

KW - virtual realities

KW - Augmented reality

KW - Computer vision

KW - Image processing

KW - Medical image processing

KW - Medical imaging

KW - Nutrition

KW - Virtual reality

KW - Image processing and computer vision

KW - Life and medical science

KW - Medical information systems

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DO - 10.1109/ISMAR.2014.6948496

M3 - Conference contribution

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EP - 376

BT - 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2014

Y2 - 10 September 2014 through 12 September 2014

ER -

A mobile augmented reality system for portion estimation

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Conference

Keywords

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