CareLit · DOI-Nachweis · Diabetologie und Stoffwechsel
A computer vision-based Smartphone system for carbohydrate counting
DOI 10.1055/s-0035-1549611
Bibliografische Angaben
Nachweis in CareLit
Autor:innenS Mougiakakakou, M Anthimopoulos, J Dehais, S Shevchik, R Botwey, D Duke, A Greenburg, D Rhyner, H Loher, J Weissmann, C Stettler, P Diem
ZeitschriftDiabetologie und Stoffwechsel
Ausgabe04/2015
Jahrgang / SeitenNicht angegeben
Kernaussage aus der Literatur
Abstract-Vorschau
Introduction: Estimating meals' carbohydrates (CHOs) is important in diabetes. To this end, a computer vision-based smartphone system, named GoCARB, was developed and evaluated. The system is designed to estimate the CHO with error less than ± 20 grams/meal. Methods: The user places a reference object next to the meal and acquires two images using a smartphone's camera. Then, the different food items on the plate ar…
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Zitierempfehlung
S Mougiakakakou, M Anthimopoulos, J Dehais, S Shevchik, R Botwey, D Duke, A Greenburg, D Rhyner, H Loher, J Weissmann, C Stettler, P Diem (2015) A computer vision-based Smartphone system for carbohydrate counting. Diabetologie und Stoffwechsel (04). https://doi.org/10.1055/s-0035-1549611
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