Biomedical Engineering Reference
In-Depth Information
that arise from the sensor interfacing inadequately and unbalanced properties may
result in a conflict with natural human behavior. There are a number of aspects re-
lated to the human-based sensor approach, such as for example:
How to make selective sensing
•
How to perceive the sensor data
•
How to extract important features
•
How to make intelligent decisions
•
How to exchange essential information
•
In the first aspect, the information from the environment is often imprecise and
in some sense limited, often with uncertainties. Therefore, the performance of the
sensor system needs to reflect a correct view of the environmental picture. A major
component in designing human-based sensor systems is the process of merging
sensor data into relevant information. The retrieval of the pictorial view collected
in the environment has to transform into an artificial domain given that the specific
qualities in demand have to be sensed and reproduced. The knowledge and earlier
experience concerning the essential features of interest in an environmental picture
are needed to add a flavour to the final information given and these have to be
integrated in the extraction process.
Further, the question may arise on how to perform the system strategy to make
relevant decisions that are based on the dynamic sensor data, followed by the pro-
cess of identifying essential information. Finally, the aspect of exchange of essential
information with, e.g., the human, is a crucial concern in conveying the depicted
view of the environment, i.e., the human-artificial system interface. This interfac-
ing process often controls the effectiveness of the complete human-based sensor
system and when the exchange relies on human behaviour, it could bring about
trust and understanding of the system's performance. When increasing the “intel-
ligence” in a perception-based artificial system, an effective user-related interface
will, in that connection, strengthen the interaction between a person (or many per-
sons) and the system (active perception), or when considering complex environ-
ments, by the use of a high level of perceptual related interactions.
It is necessary to understand the possible features of a perceptual-based arti-
ficial system and the output information that is extracted from the measurement
process. The understanding is needed to effectively make use of the information
from the sensors and to contribute to a higher level of knowledge. To describe the
benefits of the proposed perception model approach, a structural concept is pre-
sented below in Fig. 5.7. The perception model process illustrated below intends
to demonstrate the combination effects that can be found in human perspectives of
merging perceptual information and a sensor system's approach complementing
the human abilities.
The methodology in artificial perceptual systems is complex, because it takes
into consideration all the various aspects that are necessary in order to achieve the
goal. The goal and the strategic expectations, compressed by the individual when
interacting with the system, is individually-based and considered highly subjec-
Search WWH ::
Custom Search