Detection of dangerous situations using a smart internet of things system

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.

A radiofrequency identification system for the 60 GHz ISM band

Disserta����o de mestrado integrado em Engenharia Biom��dica (��rea de especializa����o em Eletr��nica M��dica)

���PhenoWorld���: a new multidimensional strategy for studying behaviour in rodents

Tese de Doutoramento em Ci��ncias da Sa��de