An Artificial Perceptual Model Approach - Artificial Human Sensors: Science and Applications - page 114

the time between the slots but without jeopardising each section's ability to fulfil
its obligation, i.e., to process the activity required.
The first impression, regarding information from the environment is often of
imprecise and highly limited quality. A vital aspect is therefore to obtain neces-
sary knowledge about these often new situations in the related process. The need
to know how to merge sensors together to complement each other and how to
fuse the data from each sensor into relevant and requested information is obvi-
ous. The communication is a vital part of the process in order to know that the
system delivers the right information at the right time as illustrated in Fig. 5.6 be-
low. An important factor is, of course, to communicate the information in such a
way that the receiver is able to assimilate the expected data in an effective format.
The communication part is, as mentioned earlier, a crucial process in an artificial
and perceptual sensor system which could bring an effective performance to the
interaction. This process may increase the intelligence of perceptual systems by
strengthening the interaction and integrating the individual involvement in per-
ceptual processing.

5.3 A PERCEPTUAL MODEL

It is highly important to know the intended goal of the specific perceptual system,
in order to create an effective task procedure. This procedure can be performed in
a predetermined passive perspective or as a highly interacting phase with active
capability and iterative behaviour. A procedure, where the sensor or sensors, in
a system acts in a passive mode and only receives information as an observer, is
considered as a passive perception system. The system then is used without active
cognition, given that the overall system does not provide any feedback, i.e., mainly
single communication from the environment to the system is performed. This pas-
sive type of system is also considered to be vulnerable, since any uncertainty or un-
expected disturbances that occur in the environment, results in a predefined goal
will most likely fail or be misapprehended. Passive sensor system applications are
usually used when we want to follow a course of events in the environment, in
order to establish a “state of the picture” of an environmental occurrence. The sys-
tem does not act with the dynamics of the surroundings and this mode may be an
effective system for highlighting and detecting changes in the environment when
measuring a “picture”.
In an example shown later in this chapter, a procedure where the sensor sys-
tem is only sensing and communicating relevant information, is demonstrated in
a passive perceptual mode, i.e., not providing any dynamic feedback to the situa-
tional context.
On the other hand, an active perceptual system is focussed on the interaction
between the cognitive unit and the occurrence in the environment. Identification,
re-calibration and change of focus with respect to the behavior of the system can
be performed with the purpose of achieving the goals set. This principle provides