Detection of Dangerous Situations Using a Smart Internet of Things System

被引:3
|
作者
Lopes, Nuno Vasco [1 ]
Santos, Henrique [1 ]
Azevedo, Ana Isabel [1 ]
机构
[1] Univ Minho, Sch Engn, Dept Informat Syst, Braga, Portugal
来源
NEW CONTRIBUTIONS IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2 | 2015年 / 354卷
关键词
Internet of Things; IoT; dangerous situations; sensor network; child; self-learning algorithm;
D O I
10.1007/978-3-319-16528-8_36
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Internet of Things (IoT) is a concept that can foster the emergence of innovative applications. In order to minimize parents's concerns about their children's safety, this paper presents the design of a smart Internet of Things system for identifying dangerous situations. The system will be based on real time collection and analysis of physiological signals monitored by non-invasive and non-intrusive sensors, Frequency IDentification (RFID) tags and a Global Positioning System (GPS) to determine when a child is in danger. The assumption of a state of danger is made taking into account the validation of a certain number of biometric reactions to some specific situations and according to a self-learning algorithm developed for this architecture. The results of the analysis of data collected and the location of the child will be able in real time to child's care holders in a web application.
引用
收藏
页码:387 / 396
页数:10
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