Fuzzy logic Applied to Smart Baby's Health and Feeding Sequence Monitoring System

2020 21st International Arab Conference on Information Technology (ACIT) Pub Date : 2020-11-28 DOI:10.1109/ACIT50332.2020.9300087

J. C. Tuyisenge, N. Gaudence, D. Mukanyiligira, Jean Pierre Nyakuri

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引用次数: 2

Abstract

Nowadays, with technology development, home healthcare and remote monitoring of physiological data have gained importance. It is popular in the tracking of home healthcare of patients, particularly babies. The existing IoT solutions cover the health monitoring of babies by the use of biometric sensors and a smart cradle. This work proposes a system where by a smart dining room is added to the existing solution, by the use of an IP Camera, Fingerprint based access, room temperature and humidity control by fuzzy inference system. The smart room contains also an alert system to remind the maidservant the time to feed the baby, an alert system to the parents alerting them if the maidservant has not respected the time to feed the baby so that parents can remind the maidservant to do so. In addition to this, a mobile application was developed for parents to monitor the smart dining room's activities. An IP camera will be automatically activated once the maidservant and child enter in the dining room, to provide full information to the parents about the diet prepared.

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模糊逻辑在智能婴儿健康及喂养顺序监测系统中的应用

如今，随着科技的发展，家庭医疗和生理数据的远程监测变得越来越重要。它在跟踪患者，特别是婴儿的家庭保健方面很受欢迎。现有的物联网解决方案包括使用生物识别传感器和智能摇篮对婴儿进行健康监测。本工作提出了一个系统，在现有的解决方案中增加一个智能餐厅，通过使用IP摄像头，基于指纹的访问，通过模糊推理系统控制房间的温度和湿度。智能房间还包含一个警报系统，提醒女佣喂奶的时间，如果女佣没有遵守喂奶的时间，则向父母发出警报系统，以便父母可以提醒女佣这样做。除此之外，还开发了一个移动应用程序，供家长监控智能餐厅的活动。一旦女仆和孩子进入餐厅，IP摄像头将自动启动，向父母提供有关准备的饮食的完整信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 21st International Arab Conference on Information Technology (ACIT)

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