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Policy-based computing is one of the software and knowledge engineering methods (along with Artificial Neural Networks, Fuzzy Logic, etc.) that allows incorporating a specified expert knowledge into various kind of decision making processes. In this paper a preliminary study is undertaken in order to determine applicability of this technology supported by selected trend analysis methods for the problem...
To better characterize movement-related neurophysiological change, the authors propose to measure not only neural activity through the electroencephalogram (EEG) but also cerebral blood flow (CBF) using a new technology, near-infrared diffuse correlation spectroscopy (DCS). A preliminary trial is described, in which EEG, DCS, and exerted force were simultaneously recorded during a cue-triggered hand...
Modern, based on biomedical signals interfaces have become recently very complex, however the complexity does not always lead to increased functionality or usability. In particular, when it comes to handicapped users, the currently available solutions are far from satisfactory. In this paper an innovative approach for biomedical signals based interfaced with the implementation of an inexpensive gaming...
In this paper comparison of the two innovative signal processing methods for analysis of both EEG and EMG biomedical signals is in short presented. The reason for that is caused by the fact, that nowadays the broad analysis of various biomedical signals is extremely popular. The first method presented in this paper relies on kernel density estimators application. Implementation of such method enables...
There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing an appropriate signal processing method,...
In this paper the idea of Policy-based Input Selector, which is a framework of a highly flexible modular software interface was presented. The Policy-based Input Selector allows run-time context-sensitive and self-acting reconfiguration of information inputs in cognitive systems. The proposed solution has great application capability in autonomous and intelligent systems with multiple data inputs,...
In this paper evaluation of a policy-based algorithm for video inputs switching is presented. The term ‘data quality’ is not trivial for Human-Machine Interaction systems, yet a simple and efficient algorithm is needed for choosing the most valuable video source. This becomes particularly important for systems that support functional decomposition of image processing algorithm, which are designed...
Nowadays one can observe rapid development of various technologies supporting autonomic features and context-awareness of pervasive systems. And this is perfectly understandable as these features effectively increase the systems autonomicity. However, in the case of safety-critical realtime systems it becomes crucial to determine how the entire system performance is affected by the growth in complexity...
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