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Imagining a certain movement produces changes in the subject's EEG motor rhythm in the same manner in which the real execution of the movement does. These variations are reflected by Even-Related Desynchronizations (ERD) and appear asa magnitude decrease of the frequency components comprising the mu band. By monitoring the amplitude and power changes, the automatic detection of imagery or movement...
Motor imagery, one of the first investigated neural process for Brain-Computer Interfaces (BCIs) still provides a great challenge nowadays. Aiming a better and more accurate control, multiple researches have been conducted by the scientific community. Nevertheless, there is still no robust and confident application developed. In order to augment the potential referring to motor imagery, and to attract...
Motor imagery and actual movement are both tasks that bring forth a noticeable change in the subject's EEG mu rhythm known as Even-Related Desynchronisation (ERD). They appear as magnitude decreases of the frequencies included in the said band and can be tracked and measured for the automatic real-time detection and classification of the events. It has been proven that an important percent of the...
This article proposes a pilot study regarding the influence of sounds (music) on EEG activity involved in BCI implementations, based on EEG analysis. The Independent Component Analysis is applied to extract the most relevant ICA components for which the event related (de)synchronization in the alpha/beta bands is furtherly considered for tracking the effect of the musing on brain activity, using on...
The ability to infer implicit user variables in realtime and in an unobtrusive way would open a broad variety of applications such as adapting the user interface in human-computer interaction or developing safety assistance systems in industrial workplaces. Such information may be extracted from behavior, peripheral physiology and brain activity. Each of these sensors has its advantages and disadvantages...
EEG signal processing is a complex task that requires many (pre)processing steps, due to the low signal-to-noise ratio. Challenging approaches are continuously developed, to improve the performance of signal analysis methods. This study was performed to demonstrate the advantages of ICA algorithm in EEG signal processing and its impact in emphasizing the brain activity similarities and the differences...
Texture aspects are encountered in most domains that use image processing. Despite the decades of research on texture image information, texture characterization remains a competition for the scientific community because a rigorous mathematical definition of texture was not yet decided. Therefore, texture analysis and classification needs depth research and continuous improvement. Beside common fractal...
Video content constitutes today a large part of the data traffic on the Internet. This is allowed by the capillary spreading of video codec technologies: nowadays, every computer, tablet and smart phone is equipped with video encoding and decoding technologies. As a matter of fact, the video content often exists in different formats, that, even though they can be incompatible to each other, still...
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