Suzuki Takuo, Futatsuishi Kana, Yokoyama Kana, Amaki Nobuko
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5665-5668. doi: 10.1109/EMBC44109.2020.9175807.
It is necessary to know the amount of food on dishes in order to encourage taking medicine after eating. Also, for health management, it is vital to record what and how much a person ate. Although there are research cases using weight sensors or color cameras, it has been difficult to estimate the food volume accurately and inexpensively at home. In previous works, the authors developed a technique for estimating volume based on a depth image acquired by a depth camera. In this paper, the authors propose a new point cloud processing method for a more accurate estimation. A point cloud is a set of coordinate points on objects and is suitable for processing objects three-dimensionally. The authors have developed a technique for recognizing dishes on the dining table based on a point cloud and constructing the dish space. Additionally, another technique was developed for estimating the volume of food in the dish space.
为了鼓励饭后服药，有必要知道盘子里食物的量。此外，对于健康管理而言，记录一个人吃了什么以及吃了多少至关重要。尽管有使用重量传感器或彩色相机的研究案例，但在家中以低成本准确估计食物体积一直很困难。在之前的工作中，作者开发了一种基于深度相机获取的深度图像来估计体积的技术。在本文中，作者提出了一种新的点云处理方法以进行更准确的估计。点云是物体上的一组坐标点，适用于对物体进行三维处理。作者已经开发了一种基于点云识别餐桌上的盘子并构建盘子空间的技术。此外，还开发了另一种技术来估计盘子空间中食物的体积。
