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

被引:0
作者
Tuyisenge, Jean Claude [1 ]
Mukanyiligira, Didacienne [1 ]
Nirere, Gaudence [1 ]
Nyakuri, Jean Pierre [1 ]
机构
[1] Univ Rwanda, Africa Ctr Excellence Internet Things, Coll Sci & Technol, Kigali, Rwanda
来源
2020 21ST INTERNATIONAL ARAB CONFERENCE ON INFORMATION TECHNOLOGY (ACIT) | 2020年
关键词
Fuzzy inference system; health monitoring; fuzzy logic; biometric sensors; fingerprint based access;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:7
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