A computer vision-based Smartphone system for carbohydrate counting
S Mougiakakakou, M Anthimopoulos, J Dehais, S Shevchik, R Botwey, D Duke, A Greenburg, D Rhyner, H Loher, J Weissmann, C Stettler, P Diem · Diabetologie und Stoffwechsel · 2015 · Heft 04
Bibliografische Angaben
Zusammenfassung
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 are segmented and recognized while their 3D shape is reconstructed. Based on the shape, the segmentation results and the reference object, the volume of each item is estimated. Finally, the CHO content…
