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DOI 10.1017/s136898002000275x

Медицинская библиотека · Public health nutrition · 2020

An automatic electronic instrument for accurate measurements of food volume and density.

Yuan Ding, Hu Xiaohui, Zhang Hong, Jia Wenyan, Mao Zhi-Hong, Sun Mingui

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

Accurate measurements of food volume and density are often required as 'gold standards' for calibration of image-based dietary assessment and food database development. Currently, there is no specialised laboratory instrument for these measurements. We present the design of a new volume of density (VD) meter to bridge this technological gap.

DESIGN

Our design consists of a turntable, a load sensor, a set of cameras and lights installed on an arc-shaped stationary support, and a microcomputer. It acquires an array of food images, reconstructs a 3D volumetric model, weighs the food and calculates both food volume and density, all in an automatic process controlled by the microcomputer. To adapt to the complex shapes of foods, a new food surface model, derived from the electric field of charged particles, is developed for 3D point cloud reconstruction of either convex or concave food surfaces.

RESULTS

We conducted two experiments to evaluate the VD meter. The first experiment utilised computer-synthesised 3D objects with prescribed convex and concave surfaces of known volumes to investigate different food surface types. The second experiment was based on actual foods with different shapes, colours and textures. Our results indicated that, for synthesised objects, the measurement error of the electric field-based method was <1 %, significantly lower compared with traditional methods. For real-world foods, the measurement error depended on the types of food volumes (detailed discussion included). The largest error was approximately 5 %.

CONCLUSION

The VD meter provides a new electronic instrument to support advanced research in nutrition science.

Для цитирования: Yuan Ding, Hu Xiaohui, Zhang Hong, Jia Wenyan, Mao Zhi-Hong, Sun Mingui. An automatic electronic instrument for accurate measurements of food volume and density.. Public health nutrition. 2020. DOI: 10.1017/s136898002000275x.

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