Biomedical Engineering Reference
In-Depth Information
These representations are:
— brightness/colour, (including black, white and shades of gray)
— shape, and
—location.
Finally, the process of the combined representation of the input vision sense is
compared with existing representations in the memory, Wide (1996a).
The information from the sub-codes must be combined in order to form an
integrated visuo-spatial representation of the input vision sense. A representation
of an object can be compared with a memory representation before the definitive
integrated perceptual representation is formed. This is sometimes called selective
attention.
An object, in this illustration, exemplified by a communication and monitor-
ing application that corresponds to a symbolically displayed visual plot and may
be described as a distractor on some salient dimension. This can be referred to as
a featural singleton, which is expected to differ from all other stimuli. It can be
shown, Best (1993), that singletons can capture human attention, but only when
they are some how relevant to the perceiver's goals, for example, when the in-
dividual knows that the symbolically displayed visual plot makes it possible in
defining a behaviour. In this case of behaviour, then the specific featural singleton
is processed with a high priority (salient).
Under normal conditions the image shown on the visual presentation system
in Fig. 7.3, works as one among many lasting impressions, as a communication in-
put to the individual's visual perception. This dynamical process normally under-
goes a constant flow of course of events. When motion occurs in the visual range,
the individual's visual perception has to consider that momentarily we focus on
moving features of the image on behalf of other behaviours in the same part of
the environment. There is significant evidence that a specialised neurophysiolog-
ical part of the brain exists for motion processing, which uses an extremely rapid
and complex computational capacity, Stillings (1995). The visual motion percep-
tion is apparently able to track identifiable visual elements such as edges or lines
over long time spans and distances. This human visual capability has a remark-
able ability to process and utilise motion information and may be one effective
communication interface when fast and reliable information is needed.
The visual presentation approach was designed to exemplify an effective
human-system interaction and increase the overall systems performance in indus-
trial presentation systems. The presentation is shown as an application solution
using a symbolically displayed visual system and has been tested in the process
industry with satisfactory results. The illustration has been built upon the dynam-
ical system according to Fig. 7.2 and will present different process status dependent
on the multi-sensor inputs. The sensor model, described in Fig. 7.2, illustrates the
dynamical system, based on charging (source) or discharging (drain) a capacitor
(store) controlling a by switch (gate) with a sensing unit. The system dynamics is
affected by the sensor signals and represented in states by arranging from stable
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