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Search results for: BCI
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Transfer learning in imagined speech EEG-based BCIs
PublicationThe Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...
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Tensor Decomposition for Imagined Speech Discrimination in EEG
PublicationMost of the researches in Electroencephalogram(EEG)-based Brain-Computer Interfaces (BCI) are focused on the use of motor imagery. As an attempt to improve the control of these interfaces, the use of language instead of movement has been recently explored, in the form of imagined speech. This work aims for the discrimination of imagined words in electroencephalogram signals. For this purpose, the analysis of multiple variables...
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Projekcja inflacji banku centralnego. Na skraju podejścia strategicznego i technicznego
PublicationTematyka książki dotyczy projekcji inflacji publikowanych przez banki centralne wdrażające strategię bezpośredniego celu inflacyjnego (BCI), w szczególności przez Bank Anglii, Norwegii, Szwecji oraz Narodowy Bank Czech. Zagadnienie to ujęto w monografii w ramach trzech zazębiających się obszarów: tworzenia oraz budowy projekcji inflacji, roli, jaką pełnią one w procesie decyzyjnym Komitetów Monetarnych (svenssonowska koncepcja...
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Krzysztof Kutt dr inż.
PeopleComputer scientist and psychologist trying to combine expertise from both disciplines into something cool. My research activity focuses on the development of affective HCI/BCI interfaces (based on multimodal fusion of signals and contextual data), methods for processing sensory data (including semantization of such data) and the development of knowledge-based systems (in particular knowledge graphs and semantic web systems).
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STEADY STATE VISUALLY EVOKED POTENTIALS FOR BRAIN COMPUTER INTERFACE
PublicationAn experiment conducted to validate a possibility of use a single active electrode EEG device for detecting Steady State Visually Evoked Potentials (SSVEP) is shown. A LED stimulator was applied to stimulate patients with two different frequencies - 13 Hz and 17 Hz. First, EEG signals were recorded and pre-processed using MATLAB software. In the next step recordings were analysed and classified employing the WEKA software. As indicated...
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Deep learning approach on surface EEG based Brain Computer Interface
PublicationIn this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublicationBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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Prognozowanie inflacji przez wybrane banki centralne
PublicationJedne z pierwszych określeń strategii bezpośredniego celu inflacyjnego (BCI) stworzył L.E.O. Svensson kładąc w nim nacisk na prognozę inflacji pełniącą funkcję celu pośredniego. W przedstawieniu tego reżimu z 1996 r. uwzględnił on trzy główne elementy [L.E.O. Svensson 1996, s. 1-3 ]: o ilościowy cel inflacyjny, o procedurę operacyjną uwzględniającą celowanie w prognozę inflacji, którego wewnętrznym warunkiem jest...
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Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion
PublicationThe classification of EEG signals provides an important element of brain-computer interface (BCI) applications, underlying an efficient interaction between a human and a computer application. The BCI applications can be especially useful for people with disabilities. Numerous experiments aim at recognition of motion intent of left or right hand being useful for locked-in-state or paralyzed subjects in controlling computer applications....
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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublicationMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Rozwój systemu finansowego Polski w gospodarce globalnej
PublicationTemat niniejszej monografii to powstanie oraz rozwój systemu finansowego w Polsce od rozpoczęcia transformacji ustrojowej, ze szczególnym uwzględnieniem miejsca Polski w globalnej gospodarce. Istotną częścią monografii są przesłanki i wytyczne dotyczące możliwych przyszłych rozwiązań oraz kierunków ewolucji polskiego systemu finansowego, wyprowadzone na podstawie wykonanych przez autorów badań i analiz polskiej/ globalnej gospodarki. Cele...
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Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG
PublicationEEG-based brain-computer interfaces are systems aiming to integrate disabled people into their environments. Nevertheless, their control could not be intuitive or depend on an active external stimulator to generate the responses for interacting with it. Targeting the second issue, a novel paradigm is explored in this paper, which depends on a passive stimulus by measuring the EEG responses of a subject to the primary colors (red,...