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Recent decades have seen BCI applications as a novel and promising new channel of communication, control and entertainment for disabled and healthy people. However, BCI technology can be prone to errors due to the basic emotional state of the user: the performance of reactive and active BCIs decrease when user becomes stressed or bored, for example.(More)
The selection of features is generally the most difficult field to model in BCIs. Therefore, time and effort are invested in individual feature selection prior to data set training. Another great difficulty regarding the model of the BCI topology is the brain signal variability between users. How should this topology be in order to implement a system that(More)
The present paper reports the results of an investigation regarding the determination of characteristic strength and stiffness values in glued laminated beams of fast-growth Argentinean Eucalyptus grandis according to the criteria established in European standards. An empirical research project with 100 beams in structural sizes and 191 finger-jointed(More)
In optical systems, the range of distance near the point of focus where objects are perceived sharply is referred as depth-of-field; objects outside this region are defocused and blurred. Furthermore, ophthalmology studies state that the amplitude and the latency of visual evoked potentials are affected by defocusing. In this context, this paper evaluates a(More)
— Brain-computer interface (BCI) provides a direct connection between the user's brain signals and a computer, generating an alternative channel of communication that does not involve the traditional way as muscles and nerves. Recent decades have seen BCI applications as a novel and promising new channel of communication, control and entertainment for(More)
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