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danger and consequently sends an alert notifying the dangerous situation. For the
evaluation of the state of danger several physiological signals will be considered. A
real time detection and notification of danger may be very helpful and applied in
many contexts preventing the occurrence of undesirable situations.
There are several applications which can be indicated to this scenario, however this
proposal has the advantage of providing a complete system with detection of danger
through the use of a Wireless Sensors Network (WSN), identification of the child
using a RFID tag and real time location using GPS. For being a wearable device, it is
easier to collect data anytime and to motivate children to its use. The main advantage
of this system is giving to care holders a web application where they can have full
time access to their children's location and safety.
The access to this sort of application can help parents improving their trust on rely-
ing their children to other people or institution and help care holders to do their work,
especially in cases of disabled children, who have more needs and whose analysis of
their biometric data in real time can be crucial to avoid dangerous situations. In cases
of illness, this system will have an even greater relevance, because it will allow a
faster and more detailed medical diagnosis of the children's state which can be a deci-
sive factor in the user's recovery. An immediate anomaly detection becomes a benefit,
because it allows a better assistance and can be very helpful either in the medical
point of view as in the care holder's point of view that may have a more concrete idea
about the child's situation and how to interact with it.
The remainder of this paper is organized as follows. In Section 2, it is mentioned
the work developed in the domain of IoT and its use in affective computing. The pro-
posal solution is presented in Section 3 and includes the description of the proposed
architecture. Section 4 gives a brief overview about the future work to be developed
and the conclusions of this proposal are presented in Section 5.
2
Related Work
Although this is a relatively new paradigm, there are several areas where the Internet
of Things can be applied contributing to improve the quality of life of today's society.
Smart Environment is a technology, which consists on enabling and supporting the
ability of its occupants to execute their daily activities. Typically these scenarios are
oriented for elderly or disabled people, offering them a space where they can move
and interact more easily. It is important having a smart environment with the capabili-
ty of detect the current state or context and determine which are the best actions to
take based in this information [4].
In this sort of applications, the detection of potentially dangerous situations ac-
quires an even greater relevance. Scientific community has developed work to apply
stress detection to many areas of intelligent environment particularly in the field of
transportation.
A driver monitoring research project is being conducted at the Corporate Research
Division of Robert Bosch GmbH, Germany, with the goal of analyzing the relation
between the physiological driver state and human-factor issues in a driving environ-
ment. This research has a laboratory-based driving simulator, which is used for the
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