Abstract
The prevalence of obesity, found in more than 38% of worldwide adults, is causing dietary measurements to become increasingly important. Most methods for tracking dietary intake utilize estimating the amount of food consumed to determine calories and nutritional content. Currently used methods of dietary tracking are either tedious or inaccurate. Our proposed method for dietary tracking is called DietSkan. It combines an off the shelf 3-Dimensional (3D) scanner, the Structure Sensor, with a smartphone application to produce a 3D reconstructed mesh scan of food items. The DietSkan process requires the desired food item to be scanned and exported for volume calculation. Then, using a 3D mesh manipulation tool, a 3D mesh, enclosing the consumed food, is constructed to obtain volume. The volume measurements achieved using the DietSkan algorithm average only 6% error and allow a user to track their dietary intake simply and effectively. The DietSkan system simplifies the estimation process and improves measurement accuracy when compared to current common practices.
Highlights
Dietary tracking is growing increasingly necessary as the rate of obesity has risen over time to about 37.7% of adults in recent years
The focus of this paper is to provide an overview of the DietSkan system, as well as outlining future efforts with the dietary measurement system
The DietSkan application for obtaining accurate volumetric estimations through 3D reconstruction of a scanned object is highly useful to the field of dietary tracking
Summary
Dietary tracking is growing increasingly necessary as the rate of obesity has risen over time to about 37.7% of adults in recent years. This paper outlines the DietSkan, a smartphone application, which contains a VBM system that quickly and accurately allows a user to estimate his dietary intake. The scanning process takes an average of 5 seconds for one plate with multiple food items and guides the user to move the smartphone around the plate using pop up messages to capture a multi-view 3D reconstructions of the plate. The 3D reconstructed scans are processed on the DietSkan database to provide accurate volume estimates for further analysis Using this volumetric estimation, the nutritional intake of the food eaten can be determined from Nutrition Data System for Research (NDSR) database. The nutritional intake of the food eaten can be determined from Nutrition Data System for Research (NDSR) database This provides users with dietary tracking data to support their nutritional health. The 24-hour logs (24HR) using food frequency questionnaires (FFQ) is commonly used in for research applications, and MyFitnessPal is most commonly used consumer applications) (Pais, Parry, Petrova, & Rowan, 2018; Primer, 2018)
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