基于深度图像的进食进度估计为用药管理提供支持

Takuo Suzuki, Marina Nakagawa, Kunikazu Kobayashi
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引用次数: 4

摘要

作者开发了一种图像处理技术,用于估计老年接受者的饮食行为进展。图像处理是深度图像,不需要在盘子等餐具上有任何视觉标记。作者的用药管理支持系统可以根据估计的进展情况,在正确的时间(如进食后)进行提醒。此外,人类辅助机器人还可以通过预测进食行为的结束,提前将一剂药物传递给接受者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eating progress estimation based on depth images for medication management support
The authors developed an image processing technique for estimating the progress of eating behavior of an elderly recipient. The image processing is for depth images and does not require any visual markers on plateware such as dishes. The authors' medication management support system can make a reminder at the correct time (e.g., after eating) depending on the estimated progress. In addition, a human support robot will be able to pass a dose of medicines to the recipient in advance by predicting the end of eating behavior.
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