Sensors, Energy, and Automation Laboratory (SEAL), Department of Electrical and Computer Engineering University of Washington, Seattle, WA 98109, USA.
Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Sensors (Basel). 2019 Jan 29;19(3):564. doi: 10.3390/s19030564.
. Over the past ten years, diabetes has rapidly become more prevalent in all age demographics and especially in children. Improved dietary assessment techniques are necessary for epidemiological studies that investigate the relationship between diet and disease. Current nutritional research is hindered by the low accuracy of traditional dietary intake estimation methods used for portion size assessment. This paper presents the development and validation of a novel instrumentation system for measuring accurate dietary intake for diabetic patients. This instrument uses a mobile Structured Light System (SLS), which measures the food volume and portion size of a patient's diet in daily living conditions. The SLS allows for the accurate determination of the volume and portion size of a scanned food item. Once the volume of a food item is calculated, the nutritional content of the item can be estimated using existing nutritional databases. The system design includes a volume estimation algorithm and a hardware add-on that consists of a laser module and a diffraction lens. The experimental results demonstrate an improvement of around 40% in the accuracy of the volume or portion size measurement when compared to manual calculation. The limitations and shortcomings of the system are discussed in this manuscript.
在过去的十年中，糖尿病在所有年龄段的人群中迅速变得更为普遍，尤其是在儿童中。对于研究饮食与疾病之间关系的流行病学研究来说，需要改进膳食评估技术。当前的营养研究受到用于评估份量的传统饮食摄入估计方法的准确性低的阻碍。本文介绍了一种用于测量糖尿病患者准确饮食摄入量的新型仪器系统的开发和验证。该仪器使用移动结构光系统（SLS），可在日常生活条件下测量患者饮食的食物量和份量。SLS 允许准确确定扫描食物的体积和份量。一旦计算出食物的体积，就可以使用现有的营养数据库来估算食物的营养成分。系统设计包括体积估计算法和硬件附加组件，该组件由激光模块和衍射透镜组成。实验结果表明，与手动计算相比，体积或份量测量的准确性提高了约 40%。本文讨论了系统的局限性和缺点。
