Metody komunikacji człowiek-komputer dla pacjentów z ciężkimi urazami mózgu - Projekt - MOST Wiedzy

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Metody komunikacji człowiek-komputer dla pacjentów z ciężkimi urazami mózgu

Informacje szczegółowe

Akronim projektu:
HCIBRAIN
Finansowanie projektu:
OPUS
Porozumienie:
UMO-2014/15/B/ST7/04724 z dnia 2015-07-16
Okres realizacji:
2015-07-16 - 2019-03-15
Wartość projektu:
996 644.00 PLN
Typ zgłoszenia:
Krajowy Program Badawczy
Pochodzenie:
Projekt krajowy

Filtry

wszystkich: 2
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Katalog Projektów

  • 2019

  • Automatic Clustering of EEG-Based Data Associated with Brain Activity

    The aim of this paper is to present a system for automatic assigning electroencephalographic (EEG) signals to appropriate classes associated with brain activity. The EEG signals are acquired from a headset consisting of 14 electrodes placed on skull. Data gathered are first processed by the Independent Component Analysis algorithm to obtain estimates of signals generated by primary sources reflecting the activity of the brain....

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  • 2018

  • Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals

    A method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...

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wyświetlono 31 razy